Surveillance outcomes of respiratory pathogen infections during the 2021-2022 season among U.S. Military Health System beneficiaries, October 3, 2021-October 1, 2022.

The Department of Defense Global Respiratory Pathogen Surveillance Program conducts continuous surveillance for influenza, severe acute respiratory syndrome 2 (SARS-CoV-2), and other respiratory pathogens at 104 sentinel sites across the globe. These sites submitted 65,475 respiratory specimens for clinical diagnostic testing during the 2021-2022 surveillance season. The predominant influenza strain was influenza A(H3N2) (n=777), of which 99.9% of strains were in clade 3C.2a1b.2a2. A total of 21,466 SARSCoV-2-positive specimens were identified, and 12,225 of the associated viruses were successfully sequenced. The Delta variant predominated at the start of the season, until December 2021, when Omicron became dominant. Most circulating SARS-CoV-2 viruses were subsequently held by Omicron sublineages BA.1, BA.2, and BA.5 during the season. Clinical manifestation, obtained through a self-reported questionnaire, found that cough, sinus congestion, and runny nose complaints were the most common symptoms presenting among all pathogens. Sentinel surveillance can provide useful epidemiological data to supplement other disease monitoring activities, and has become increasingly useful with increasing numbers of individuals utilizing COVID-19 rapid self-test kits and reductions in outpatient visits for routine respiratory testing.

Surveillance trends for SARS-CoV-2 and other respiratory pathogens among U.S. military health system beneficiaries, 27 September 2020­2 October 2021

Laboratory-based respiratory pathogen surveillance for SARS-CoV-2 and other respiratory pathogens was conducted in the 2020-2021 surveillance season among U.S. Military Health System (MHS) beneficiaries through the Department of Defense Global Respiratory Pathogen Surveillance Program (DoDGRPSP). Sentinel and participating sites submitted 96,660 specimens for clinical diagnostic testing. A total of 12,282 SARS-CoV-2 positive cases were identified, and 7,286 of the associated viruses were successfully sequenced. Two overlapping waves of SARS-CoV-2 activity were observed during the season. The B.1.1.7 (Alpha) lineage was dominant during February 2021 through May 2021. By July 2021, and continuing through the rest of the season, B.1.617.2/AY.x (Delta) lineage predominated and by September 2021 comprised 100% of identified SARS-CoV-2 lineages. The emergence of SARS-CoV-2 coincided with substantial reductions in the circulation of seasonal influenza viruses and most other non-SARS-CoV-2 respiratory pathogens. A total of 4,426 non-SARS-CoV-2 respiratory pathogens were identified, including 71 influenza. Of the 71 influenza positives, 64 were successfully sequenced. The majority of influenza strains sequenced belonged to influenza A(H3N2) clades 3C.2a1b.2a2. The most common non-SARSCoV-2 respiratory pathogen detected was rhinovirus/enterovirus (n=3,058).

Establishment of SARS-CoV-2 genomic surveillance within the Military Health System during 1 March-31 December 2020.

This report describes SARS-CoV-2 genomic surveillance conducted by the Department of Defense (DoD) Global Emerging Infections Surveillance Branch and the Next-Generation Sequencing and Bioinformatics Consortium (NGSBC) in response to the COVID-19 pandemic. Samples and sequence data were from SARS-CoV-2 infections occurring among Military Health System (MHS) beneficiaries from 1 March to 31 December 2020. There were 1,366 MHS samples sequenced from 10 countries, 36 U.S states or territories, and 5 Geographic Combatant Commands, representing approximately 2% of DoD cases in 2020. Genomes from these samples were compared with other public sequences; observed trends were similar to those of Centers for Disease Control and Prevention national surveillance in the U.S. with B.1, B.1.2, and other sub-lineages comprising the dominant variants of SARS-CoV-2. Sequence data were used to monitor transmission dynamics on U.S. Navy ships and at military training centers and installations. As new variants emerge, DoD medical and public health practitioners should maximize the use of genomic surveillance resources within DoD to inform force health protection measures.

Influenza Surveillance Trends and Influenza Vaccine Effectiveness Among Department of Defense Beneficiaries During the 2019-2020 Influenza Season.

Laboratory-based influenza surveillance was conducted in the 2019-2020 influenza season among Department of Defense (DoD) beneficiaries through the DoD Global Respiratory Pathogen Surveillance Program (DoDGRS). Sentinel and participating sites submitted 28,176 specimens for clinical diagnostic testing. A total of 5,529 influenza-positive cases were identified. Starting at surveillance week 45 (3-9 November 2019), influenza B was the predominant influenza type, followed by high activity of influenza A(H1N1)pdm09 three weeks thereafter. Both influenza B and influenza A(H1N1)pdm09 were then highly co-circulated through surveillance week 13 (22-28 March 2020). End-of-season influenza vaccine effectiveness (VE) was estimated using a test-negative case-control study design. The adjusted end-of-season VE for all beneficiaries, regardless of influenza type or subtype, was 46% (95% confidence interval: 40%-52%). The influenza vaccine was moderately effective against influenza viruses during the 2019-2020 influenza season.

Respiratory pathogen surveillance trends and influenza vaccine effectiveness estimates for the 2018-2019 season among Department of Defense beneficiaries.

This report primarily focuses on the data collected and analyzed from the worldwide network of sentinel military treatment facilities chosen to participate in the Department of Defense Global Respiratory Pathogen Surveillance (DoDGRS) program. Sites that participated in the 2018-2019 DoDGRS program submitted 24,320 respiratory specimens for diagnostic testing. Clinical results showed a total of 5,968 positive influenza cases. In the beginning of the season, starting in surveillance week 48, influenza A(H1N1)pdm09 was the predominant subtype. The predominant subtype switched to influenza A(H3N2) beginning in week 6 and continued through the end of the season. Influenza B virus detection was less common during the surveillance period (i.e., 1% of total submitted specimens and 5% of total influenza detected). In addition to routine surveillance, the DoDGRS program also conducts vaccine effectiveness (VE) studies twice per year to determine interim and end of season estimates. Overall, the adjusted end of season VE for all dependents regardless of influenza type was 30% (95% CI: 22%-38%).

Sampling considerations for detecting genetic diversity of influenza viruses in the DoD Global Respiratory Pathogen Surveillance Program.

The Department of Defense (DoD) Global Respiratory Pathogen Surveillance Program annually monitors the genetic diversity of influenza viruses circulating in DoD beneficiary populations. This program relies on a global network of partners across the DoD to submit respiratory specimens throughout the influenza season. In previous seasons, representative specimens for sequencing were chosen because of cost and time restrictions associated with reliance on Sanger-based sequencing technology. The effect of this specimen prioritization for sequencing has not been previously examined in the respiratory surveillance program. Here, specimen prioritization was simulated by iteratively subsetting sequencing data sets from 1 October 2013 through 15 March 2017 to determine how prioritizing affects common metrics of genetic diversity. Prioritization of specimens did not meaningfully affect calculations of average influenza genetic diversity within seasons or subtypes. Because of the high genetic diversity of influenza, prioritizing resulted in fewer unique viruses and less accurate measures of geographic relationships although it still provided relevant estimates. Given the advent of cost-effective next-generation sequencing approaches, all programs should carefully consider how best to prioritize influenza sequencing to recover meaningful information on the evolutionary dynamics of the virus.

Keratin-based antimicrobial textiles, films, and nanofibers.

The combination of appealing structural properties, biocompatibility, and the availability of renewable and inexpensive raw materials, make keratin-based materials attractive for a variety of applications. In this paper, we report on the antimicrobial functionalization of keratin-based materials, including wool cloth and regenerated cellulose/keratin composite films and nanofibers. The functionalization of these materials was accomplished utilizing a facile chlorination reaction that converts the nitrogen-bearing moieties of keratin into halamine compounds. Halamine-charged wool cloth exhibited rapid and potent bactericidal activity against several species of bacteria and induced up to a 5.3 log (i.e., 99.9995%) reduction in the colony forming units of Bacillus thuringiensis spores within 10 min. Keratin-containing composites were prepared by the spin coating and coaxial electrospinning of extracted/oxidized alpha-keratin and cellulose acetate (CA) solubilized in formic acid, followed by CA deacetylation. Regenerated cellulose/keratin materials chlorinated to display halamines were also effective in killing Escherichia coli and Staphylococcus aureus bacteria. Electrospun core/shell nanofibers engineered to maximize keratin-Cl surface area displayed higher activity against S. aureus than films composed of the same materials. The halamine-based antimicrobial functionalization methods demonstrated for keratin-based materials in this paper are anticipated to translate to other protein biopolymers of interest to the biomaterials community.

Sporicidal/bactericidal textiles via the chlorination of silk.

Bacterial spores, such as those of the Bacillus genus, are extremely resilient, being able to germinate into metabolically active cells after withstanding harsh environmental conditions or aggressive chemical treatments. The toughness of the bacterial spore in combination with the use of spores, such as those of Bacillus anthracis, as a biological warfare agent necessitates the development of new antimicrobial textiles. In this work, a route to the production of fabrics that kill bacterial spores and cells within minutes of exposure is described. Utilizing this facile process, unmodified silk cloth is reacted with a diluted bleach solution, rinsed with water, and dried. The chlorination of silk was explored under basic (pH 11) and slightly acidic (pH 5) conditions. Chloramine-silk textiles prepared in acidified bleach solutions were found to have superior breaking strength and higher oxidative Cl contents than those prepared under caustic conditions. Silk cloth chlorinated for ≥1 h at pH 5 was determined to induce >99.99996% reduction in the colony forming units of Escherichia coli, as well as Bacillus thuringiensis Al Hakam (B. anthracis simulant) spores and cells within 10 min of contact. The processing conditions presented for silk fabric in this study are highly expeditionary, allowing for the on-site production of protein-based antimicrobial materials from a variety of agriculturally produced feed-stocks.

Altered topological properties of functional network connectivity in schizophrenia during resting state: a small-world brain network study.

Aberrant topological properties of small-world human brain networks in patients with schizophrenia (SZ) have been documented in previous neuroimaging studies. Aberrant functional network connectivity (FNC, temporal relationships among independent component time courses) has also been found in SZ by a previous resting state functional magnetic resonance imaging (fMRI) study. However, no study has yet determined if topological properties of FNC are also altered in SZ. In this study, small-world network metrics of FNC during the resting state were examined in both healthy controls (HCs) and SZ subjects. FMRI data were obtained from 19 HCs and 19 SZ. Brain images were decomposed into independent components (ICs) by group independent component analysis (ICA). FNC maps were constructed via a partial correlation analysis of ICA time courses. A set of undirected graphs were built by thresholding the FNC maps and the small-world network metrics of these maps were evaluated. Our results demonstrated significantly altered topological properties of FNC in SZ relative to controls. In addition, topological measures of many ICs involving frontal, parietal, occipital and cerebellar areas were altered in SZ relative to controls. Specifically, topological measures of whole network and specific components in SZ were correlated with scores on the negative symptom scale of the Positive and Negative Symptom Scale (PANSS). These findings suggest that aberrant architecture of small-world brain topology in SZ consists of ICA temporally coherent brain networks.

A baseline for the multivariate comparison of resting-state networks.

As the size of functional and structural MRI datasets expands, it becomes increasingly important to establish a baseline from which diagnostic relevance may be determined, a processing strategy that efficiently prepares data for analysis, and a statistical approach that identifies important effects in a manner that is both robust and reproducible. In this paper, we introduce a multivariate analytic approach that optimizes sensitivity and reduces unnecessary testing. We demonstrate the utility of this mega-analytic approach by identifying the effects of age and gender on the resting-state networks (RSNs) of 603 healthy adolescents and adults (mean age: 23.4 years, range: 12-71 years). Data were collected on the same scanner, preprocessed using an automated analysis pipeline based in SPM, and studied using group independent component analysis. RSNs were identified and evaluated in terms of three primary outcome measures: time course spectral power, spatial map intensity, and functional network connectivity. Results revealed robust effects of age on all three outcome measures, largely indicating decreases in network coherence and connectivity with increasing age. Gender effects were of smaller magnitude but suggested stronger intra-network connectivity in females and more inter-network connectivity in males, particularly with regard to sensorimotor networks. These findings, along with the analysis approach and statistical framework described here, provide a useful baseline for future investigations of brain networks in health and disease.