COVID-19 diagnosis -A review of current methods

Sensitivity-enhanced competitive lateral flow immunoassays by polycaprolactone electrospun stacking pad: Estrous determination in whole blood

Lateral flow assays (LFA) are widely adopted in point-of-care diagnostics across a spectrum of applications, due to their simplicity of use and cost-effectiveness. However, in complex biological matrices (e.g., whole blood), LFA sensitivity and analytical performance may be lower than those of laboratory-based techniques. Here, we introduce a polycaprolactone electrospun stacking pad designed to enhance the sensitivity of competitive LFAs. The stacking pad works as an automated pre-incubation step, promoting the analyte interaction with antibody conjugated gold nanoparticles, without affecting the test strip's flow dynamics. We assessed that the stacking pad allows accurate tuning of the flow rate, resulting in a significant increase in sensitivity in whole bovine blood, thereby achieving the required performance for the naked-eye detection of progesterone at the estrous threshold level (2 ng mL⁻1). The proposed method shows promising potential for broad adaptation to other immunoassays that demand enhanced sensitivity for on-site diagnostics.

Dual miRNAs Imaging Platform Based on HRCA-Cas12a by Replacing PAM with Bubble to Reduce False Positive

Detection and imaging of dual miRNAs based on AND logic gates can improve the accuracy of the early diagnosis of disease. However, a single target may lead to false positive. Hence, this work rationally integrates hyperbranched rolling circle amplification (HRCA) with Cas12a by replacing the PAM sequence with a bubble to sensitively detect and image miRNA-10b and miRNA-21 based on the AND logic gate. When miRNA-10b and miRNA-21 are both present, the two padlocks are linked into circular DNA as a template for RCA. Long ssDNA products are generated under the catalysis of phi29 DNA polymerase, which are cis-cleaved by Cas12a and activated the trans-cleavage of Cas12a to generate fluorescent signals. Subsequently, the primer hybridizes with the products of cis-cleavage and is extended as the dsDNA substrate of Cas12a to produce more fluorescent signals. However, a single target produces significant fluorescent signals leading to false positive due to the presence of protospacer adjacent motif (PAM) on the padlock. After PAM is removed from the padlock, the primer and RCA products form bubbles to replace PAM, which activate Cas12a without affecting sensitivity and reduce false positive. The introduction of a primer enables the second utilization of phi29 and Cas12a, increasing the signal-to-noise ratio. HRCA and Cas12a exhibit optimal activity in the T4 ligase buffer, achieving one-pot detection of dual miRNAs. In addition, the HRCA-Cas12a method enables the intracellular visualization of dual miRNAs. It exhibits the ability to distinguish different types of cancer cells based on the expression level of miRNAs.

Plasmon-Enhanced Fluorescence Paper Lateral Flow Strip for Point-of-Care Testing of SARS-CoV-2 Antigens

Currently commercial colorimetric paper lateral flow immunoassays exhibit insufficient limit of detection (LOD) and limited clinical sensitivity toward the detection of SARS-CoV-2 antigens, which causes a high false negative rate. To mitigate this issue, a new plasmon-enhanced fluorescence probe was developed for paper lateral flow strips (PLFSs). The probe is made of a sandwich-structured Ag-core@silica@dye@silica-shell nanoparticle in which fluorescent dyes are sandwiched between the plasmonic Ag core and the silica outer shell, and the separation distance between the Ag core and the dye molecules is controlled by the silica space layer. At the optimal thickness of the silica space layer, plasmons can amplify fluorescence signals via the Purcell effect. The PLFS with the optimized plasmonic fluorescence probes exhibits a LOD of 65.0 pg/mL toward detection of the SARS-CoV-2 nucleocapsid protein in a buffer solution, which is much lower than that (2.3 ng/mL) of the commercial colorimetric counterpart. Furthermore, it has been used successfully for testing COVID-19 clinical samples, which has achieved 100% clinical sensitivity and 94.2% specificity, while the commercial colorimetric PLFS exhibits 75.7% sensitivity and 91.4% specificity. The results demonstrate that the plasmonic fluorescence PLFS can reduce false negative results significantly. This device has great potential in helping with timely medical intervention and prevention from COVID-19 transmission.

Risk of Hearing Loss in Neonates and Toddlers with in Utero Exposure to SARS-CoV-2

OBJECTIVE

Given the prevalence of neonatal hearing loss (HL) associated with intrauterine viral exposures, the goal of this study is to provide information on neonatal HL in the context of the COVID-19 pandemic.

METHODS

Data were drawn from the COVID-19 Mother Baby Outcomes (COMBO) Initiative. 1007 participants completed the newborn hearing screen as part of routine clinical care (COMBO-EHR cohort) and 555 completed the National Survey of Children's Health (NSCH) at 2 and/or 3 years of age for research purposes (COMBO-RSCH cohort). Maternal SARS-CoV-2 infection status during pregnancy was determined through electronic health records and maternal-reported questionnaires.

RESULTS

In adjusted multivariate logistic regression models covarying for newborn age at assessment, mode of delivery, and gestational age at delivery, there was no significant association between intrauterine SARS-CoV-2 exposure and newborn hearing screening failure (OR = 1.05, 95% CI = 0.39-2.42, p = 0.91) in the COMBO-EHR cohort. In the COMBO-RSCH cohort, there were similar non-significant associations between intrauterine exposure to SARS-CoV-2 and maternal-reported concern for HL on the NSCH (OR = 1.19 [95% CI = 0.30-4.24], p = 0.79).

CONCLUSION

There is no association between intrauterine exposure to SARS-CoV-2 and failed hearing screen in neonates. Similarly, based on the NSCH, there is no association between intrauterine exposure to SARS-CoV-2 and maternal-reported concern for hearing in toddlers. These results offer reassurance given the widespread nature of this pandemic with tens of millions of fetuses having a history of intrauterine exposure.

LEVEL OF EVIDENCE

4 Laryngoscope, 135:385-392, 2025.

Development of aptamer-based lateral flow devices for rapid detection of SARS-CoV-2 S protein and uncertainty assessment

The outbreak and spread of COVID-19 have highlighted the urgent need for early diagnosis of SARS-CoV-2. Nucleic acid testing as an authoritative tool, is cumbersome, time-consuming, and easy to cross-infect, while the available antibody self-testing kits are deficient in sensitivity and stability. In this study, we developed competitive aptamer-based lateral flow devices (Apt-LFDs) for the quantitative detection of SARS-CoV-2 spike (S) protein. Molecular docking simulation was used to analyze the active binding sites of the aptamer to S protein, guiding complementary DNA (cDNA) design. Then a highly efficient freezing strategy was applied for the conjugation of gold nanoparticles (AuNPs) and DNA probes. Under optimal conditions, the linear range of the constructed Apt-LFDs was 0.1-1 μg/mL, and the limit of detection (LOD) was 51.81 ng/mL. The cross-reactivity test and stability test of the Apt-LFDs showed good specificity and reliability. The Apt-LFDs had recoveries ranging from 89.45 % to 117.12 % in pharyngeal swabs. Notably, the uncertainty of the analytical result was evaluated using a "bottom-up" approach. At a 95 % confidence level, the uncertainty report of (453.37±54.86) ng/mL with k = 2 was yielded. Overall, this study provides an important reference for the convenient and reliable detection of virus proteins based on LFDs.

Engineering Stimuli-Responsive Materials for Precision Medicine

Over the past decade, precision medicine has garnered increasing attention, making significant strides in discovering new therapeutic drugs and mechanisms, resulting in notable achievements in symptom alleviation, pain reduction, and extended survival rates. However, the limited target specificity of primary drugs and inter-individual differences have often necessitated high-dosage strategies, leading to challenges such as restricted deep tissue penetration rates and systemic side effects. Material science advancements present a promising avenue for these issues. By leveraging the distinct internal features of diseased regions and the application of specific external stimuli, responsive materials can be tailored to achieve targeted delivery, controllable release, and specific biochemical reactions. This review aims to highlight the latest advancements in stimuli-responsive materials and their potential in precision medicine. Initially, we introduce disease-related internal stimuli and capable external stimuli, elucidating the reaction principles of responsive functional groups. Subsequently, we provide a detailed analysis of representative pre-clinical achievements of stimuli responsive materials across various clinical applications, including enhancements in the treatment of cancers, injury diseases, inflammatory diseases, infection diseases, and high-throughput microfluidic biosensors. Finally, we discuss some clinical challenges, such as off-target effects, long-term impacts of nano-materials, potential ethical concerns, and offer insights into future perspectives of stimuli-responsive materials.

Clinical characteristics and prediction model of re-positive nucleic acid tests among Omicron infections by machine learning: a real-world study of 35,488 cases

BACKGROUND

During the Omicron BA.2 variant outbreak in Shanghai, China, from April to May 2022, PCR nucleic acid test re-positivity (TR) occurred frequently, yet the risk factors and predictive models for TR remain unclear. This study aims to identify the factors influencing Omicron TR and to develop machine learning models to predict TR risk. Accurately predicting re-positive patients is crucial for identifying high-risk individuals, optimizing resource allocation, and developing personalized treatment and management plans, thereby effectively controlling the spread of the epidemic, reducing community burden, and ensuring public health.

METHODS

A retrospective study was conducted among individuals infected with Omicron BA.2 variant from April 12 to May 25, 2022, in the largest Shanghai Fangcang shelter hospital. Five machine learning models were compared, including k-nearest-neighbors (KNN), logistic regression (logistic), bootstrap aggregation (bagging), error back-propagation (BP) neural network, and support vector machines (SVM), to select the best prediction model for the TR risk factors.

RESULTS

A total of 35,488 cases were included in this real-world study. The TR and control groups comprised of 6,171 and 29,317 cases respectively, with a re-positive rate of 17.39%. Higher occurrence of TR was observed in young age, males, those with obvious symptoms, underlying diseases, and a low Ct value. The KNN model proved to be the best in predicting the prognosis in the overall evaluation (accuracy = 0.8198, recall = 0.8026, and AUC = 0.8110 in the test set).

INTERPRETATION

Higher TR risk was found in infected cases who were underage or with underlying diseases; vaccine brand and inoculation status were not significantly associated with TR. KNN was the most effective machine learning model to predict TR occurrence in isolation.

An integrative analysis of SARS-CoV 2 during the first and second waves of COVID-19 in Salta, Argentina

Wastewater surveillance has been extensively applied to provide information about SARS-CoV-2 circulation in the community. However, its applicability is limited in regions lacking adequate sewerage infrastructure, without wastewater treatment plants (WWTP) or with insufficient coverage. During the COVID-19 pandemic, from July 2020 to September 2021, comprehensive epidemiological data encompassing positive, recovered, and deceased cases were collected alongside precipitation records. Additionally, wastewater samples from 13 main sewersheds and river water from two points (up- and downstream the main WWTP), in the city of Salta, were gathered. A total of 452 water samples were analyzed for quantitative detection of SARS-CoV-2 using reverse transcription real-time PCR. Across the 62-week study period, two distinct waves of COVID-19 were identified. The dynamics of deceased cases showed peaks 10 and 28 days after the peaks of positive cases in the first and second waves, respectively. Downstream river water exhibited higher fecal contamination than the upstream samples, evincing the impact of the WWTP discharges. Viral concentration in river waters mirrored those from wastewater, reflecting the progression of cases. Despite the lower reported number of cases during the first wave in comparison to the second (5420 vs. 8516 cases at the respective peaks), higher viral concentrations were detected in water samples (1.97 × 107 vs. 2.36 × 106 gc/L, respectively), suggesting underreporting during the first wave, and highlighting the positive effect of vaccination during the second. To the best of our knowledge, this is the first study that simultaneously and systematically analyzed surface water and wastewater over a prolonged period, the effect of precipitations were considered for the variations in the concentrations, and the findings compared with epidemiological information. Environmental surveillance was demonstrated to be a great tool to obtain valuable information about the circulation patterns of SARS-CoV-2, especially under resource constraints to massively test the population, thus, underreporting cases. Furthermore, the methodology employed herein can be easily expanded to the community-level surveillance of other pathogens excreted in urine and feces, encompassing viruses, bacteria, and protozoa.

Factors affecting detection and estimation of SARS-CoV-2 RNA concentration of COVID-19 positive cases in wastewater influent: A systematic review

BACKGROUND

Wastewater Based Surveillance (WBS) has emerged as a novel monitoring tool for tracking and estimating the dissemination of the Novel Coronavirus Disease 2019 (COVID-19) within communities.

OBJECTIVE

The goal of this review is to assess the factors that influence estimations of SARS-CoV-2 RNA concentration estimations in wastewater.

METHODS

A literature search was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Scoping Reviews (PRISMA-ScR) criteria in the electronic databases Scopus, PubMed, Google Scholar, and Medline. The overall quality, sample methodologies, quantification methods, and estimating approaches of selected papers were assessed.

RESULTS

Our findings reveal that 16 out of 24 articles (67 %) focused on physiochemical analyses. This review showed that sampling strategies and laboratory methodologies play a crucial role in the detection of SARS-CoV-2 RNA in wastewater samples. Moreover, we found that WBS-based estimation of COVID-19 is influenced by several factors such as wastewater temperature, shedding rate, and population size.

CONCLUSION

This review reveals that the identified parameters require adjustments to achieve optimum conditions that accurately predict community infections. Including these factors that influence the estimation of SARS-CoV-2 RNA concentration in wastewater is essential for developing effective public health strategies to combat the spread of COVID-19.

SARS-CoV-2 disrupts host gene networks: Unveiling key hub genes as potential therapeutic targets for COVID-19 management

PURPOSE

Although the end of COVID-19 as a public health emergency was declared on May 2023, still new cases of the infection are reported and the risk remains of new variants emerging that may cause new surges in cases and deaths. While clinical symptoms have been rapidly defined worldwide, the basic body responses and pathogenetic mechanisms acting in patients with SARS-CoV-2 infection over time until recovery or death require further investigation. The understanding of the molecular mechanisms underlying the development and course of the disease is essential in designing effective preventive and therapeutic approaches, and ultimately reducing mortality and disease spreading.

METHODS

The current investigation aimed to identify the key genes engaged in SARS-CoV-2 infection. To achieve this goal high-throughput RNA sequencing of peripheral blood samples collected from healthy donors and COVID-19 patients was performed. The resulting sequence data were processed using a wide range of bioinformatics tools to obtain detailed modifications within five transcriptomic phenomena: expression of genes and long non-coding RNAs, alternative splicing, allel-specific expression and circRNA production. The in silico procedure was completed with a functional analysis of the identified alterations.

RESULTS

The transcriptomic analysis revealed that SARS-CoV-2 has a significant impact on multiple genes encoding ribosomal proteins (RPs). Results show that these genes differ not only in terms of expression but also manifest biases in alternative splicing and ASE ratios. The integrated functional analysis exposed that RPs mostly affected pathways and processes related to infection-COVID-19 and NOD-like receptor signaling pathway, SARS-CoV-2-host interactions and response to the virus. Furthermore, our results linked the multiple intronic ASE variants and exonic circular RNA differentiations with SARS-CoV-2 infection, suggesting that these molecular events play a crucial role in mRNA maturation and transcription during COVID-19 disease.

CONCLUSIONS

By elucidating the genetic mechanisms induced by the virus, the current research provides significant information that can be employed to create new targeted therapeutic strategies for future research and treatment related to COVID-19. Moreover, the findings highlight potentially promising therapeutic biomarkers for early risk assessment of critically ill patients.

Impact of the Covid19 pandemic on health-related quality of life in patients with Fabry disease - implications for future care of patients with rare diseases

Background

The worldwide Covid19 pandemic caused by the rapid spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) represented a unique challenge for patients and healthcare professionals. Patients with chronic rare diseases had to face novel burdens, like the inability to perform regular on-site visits or even difficulties in the supply of medication. Patients with Fabry disease (FD) are affected by a variety of organ manifestations leading to physical but also psychological burden and limitations, which are usually presented in low health-related quality of life (HR-QoL). We sought to examine the impact of the Covid19 pandemic on HR-QoL in patients with FD and their implications for the future care of patients with rare diseases.

Methods

This single-center study included patients seen shortly prior to and after the peak of the Covid19 pandemic in 2020 at our study site. All patients had a confirmed genetic diagnosis of FD. Subjects with presumed apathogenic to benigne genetic variants in the GLA gene were excluded. The Short Form (36) Health Survey (SF-36) was used to obtain patients'self-reported outcome. Clinical data and SF-36 scores were collected and analysed for the time period prior to and after the peak of the pandemic.

Results

In total, 60 patients (mean age 47.9 ± 15 years, 53.3 % male) were included. The majority presented with a pathogenic gene variant (63.3 %) associated with classic phenotype. At baseline, 66.7 % were on enzyme replacement therapy (ERT), and 21.7 % on chaperone therapy. Predominant organ manifestations were cardiac (42/60, 70.0 %) and neurological (39/60, 65.0 %). After paired comparison prior and post peak of the pandemic in 2020, all eight items of the SF-36 score showed a numeric decline. Three items presented with a intergroup difference: social functioning (72.5 ± 29.3 vs. 64.8 ± 29.3, p = 0.012), energy/fatigue (56.8 ± 21.7 vs. 48.3 ± 23.9, p < 0.001), and role limitations due to physical health (64.2 ± 42.0 vs. 51.1 ± 45.5, p = 0.007).Subgroup analysis (regarding gender, age, and treatment) revealed that especially male and older (≥50 years) patients with FD showed reductions in multiple categories of HR-QoL. The item "energy/fatigue" presented significant declines among all subgroups.

Conclusions

The worldwide Covid19 pandemic had a persistent negative affect on self-reported HR-QoL in patients with FD, including both mental and physical aspects. It remains unclear to what extend the disease itself and accompanying circumstances including local and governmental actions and restrictions contributed to these deteriorations. Our findings stress the importance for meticulous and constant interdisciplinary care including psychosocial aspects in patients with chronic progressive diseases as well as the need for a change in mindset concerning future medical care including further progress in digitalisation and a strengthening of the remote health care sector by authorities.

The Impact of Vaccinations Against Respiratory Infections on the Prognosis in Heart Failure Patients

Heart failure (HF) affects 64 million people worldwide and is one of the most prevalent causes of hospitalization in adults. Infection is believed to be one of the potential triggers that may facilitate HF decompensation and the need for hospitalization. Therefore, it seems crucial to safeguard against such a situation. Vaccinations seem to be a very reasonable option. However, this remains an underutilized solution among HF patients. This review investigates the impact of available vaccinations, including influenza, COVID-19, pneumococcal, and RSV, on prognosis in specific HF populations only, as there are pathophysiological reasons to believe that this population of patients may benefit the most from the intervention. It will provide information about the safety profile of these vaccines and summarize the available evidence on their impact on hard clinical outcomes. In summary, this article will discuss the impact of preventive vaccinations against seasonal infections in the HF population.

The effects of visitor restrictions on inpatients and family visitors during the COVID-19 pandemic: insights from a cross-sectional survey in China

BACKGROUND

During the COVID-19 pandemic, hospitals implemented visitor restrictions to curtail the spread of the virus. The study aims to understand the perspectives of hospitalized patients and their family visitors on visitation restrictions and the factors influencing their willingness to adhere to these restrictions.

METHODS

This cross-sectional survey invited 1,200 participants, with 1,032 valid responses received, including 460 hospitalized patients and 572 family visitors.

RESULTS

The survey indicated that 88.91% of hospitalized patients and 93.00% of family visitors complied and adhered to the visitor restrictions. The predominant mode of communication was via phone (77.62%), with emotional support (56.40%) recognized as the primary purpose of visitation. Visitor restrictions significantly affected hospitalized patients, with 51.65% reporting feelings of loneliness and 42.44% reporting anxiety. After adjusting for age, gender, and other factors, hospitalized patients' willingness to follow visitation restrictions was linked to their awareness of the restrictions (odds ratio [OR] = 0.20, 95% confidence interval [CI]: 0.09-0.44) and their desire to protect (OR = 0.32, 95% CI: 0.14-0.76). Family members' willingness to follow the restrictions was related to their awareness of them (OR = 0.34, 95% CI: 0.12-0.95) and how well they communicated (OR = 0.23, 95% CI: 0.09-0.58).

CONCLUSIONS

Participants generally followed visitation restrictions, but these measures negatively impacted the psychological and social well-being of patients and their families, leading to increased feelings of loneliness and anxiety. Healthcare providers, hospital administrators, and policymakers should acknowledge the complex effects of these restrictions and focus on improving patient experiences in the future.

Predictors of COVID-19 severity in autoimmune disease patients: A retrospective study during full epidemic decontrol in China

BACKGROUND

Early identification of risk factors for adverse COVID-19 progression in patients with autoimmune diseases is crucial for patient management, but data on the Chinese population are scarce.

OBJECTIVES

The purpose of this study was to identify predictors of severe COVID-19 in patients using blood cell ratios, such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and other inflammatory markers.

METHODS

A retrospective study of 855 patients (746 females; median age 49 years) with autoimmune diseases and concurrent COVID-19 was conducted from December 2022 to February 2023 at the Rheumatology and Immunology Department of the First Affiliated Hospital of Nanchang University. Disease severity was assessed according to the 8th edition of the National Health Commission of the People's Republic of China's COVID-19 Diagnosis and Treatment Guidelines. The clinical classification criteria group mild and moderate cases as nonsevere cases and severe and critical cases as severe cases. A multivariate logistic regression model was established to evaluate the relationships between COVID-19 severity and demographic characteristics, comorbidities, medication use, and laboratory findings.

RESULTS

The PLR, NLR, and SII were significantly greater in the severe COVID-19 group than in the nonsevere group (all P < 0.05). In addition to classical independent clinical risk factors, increases in the PLR (OR: 1.004, 95 % CI: 1.001∼1.007, p = 0.001), NLR (OR: 1.180, 95 % CI: 1.041∼1.337, p = 0.010), and SII (OR: 0.999, 95 % CI: 0.998∼1.000, p = 0.005) were identified as risk factors for severe COVID-19 in patients with autoimmune diseases. After adjusting for clinical risk factors, the PLR (AUC: 0.592 vs. 0.865; P < 0.05), NLR (AUC: 0.670 vs. 0.866; P < 0.05), and SII (AUC: 0.616 vs. 0.864; P < 0.05) demonstrated higher predictive values.

CONCLUSION

Early prediction of severe COVID-19 in patients with autoimmune diseases can be achieved using the NLR, PLR, and SII.

Diagnostic and Prognostic Value of SCUBE-1 in COVID-19 Patients

Introduction

The workload of physicians increased due to the number of patients presenting with suspicion of coronavirus 2019 (COVID-19) and the prolonged wait times in the emergency department during the COVID-19 pandemic. Signal peptide-CUB-EGF domain-containing protein 1 (SCUBE-1) is a protein present in platelets and endothelial cells; it is activated by inflammation from COVID-19 and may be associated with COVID-19's known thrombotic risk. We aimed to determine whether SCUBE-1 levels are diagnostically correlated in suspected COVID-19 patients, and whether SCUBE-1 correlated with severity of disease and, therefore, might be useful to guide hospitalization/discharge decisions.

Methods

The suspected COVID-19 patients cared for at tertiary healthcare institutions for one year between May 2021-May 2022 were examined in this study. The subjects were both suspected COVID-19 patients not ultimately found to have COVID-19 and those who were diagnosed with COVID-19. By modifying the disease severity scoring systems present in COVID-19 guidelines in 2021, the COVID-19-positive patient group was classified as mild, moderate, severe, and critical, and compared using the SCUBE-1 levels. Moreover, SCUBE-1 levels were compared between the COVID-19 positive group and the COVID-19 negative group.

Results

A total of 507 patients were considered for the present study. After excluding 175 patients for incomplete data and alternate comorbid organ failure. we report on 332 patients (65.5%). Of these 332 patients, 80 (24.0%) were COVID-19 negative, and 252 (76.0%) were COVID-19 positive. Of 252 (100%) patients diagnosed with COVID-19, 74 (29.4%) were classified as mild, 95 (37.7%) moderate, 45 (17.8%) severe, and 38 (15.1%) critical. The SCUBE-1 levels were statistically different between COVID-19 positive (8.48 ± 7.42 nanograms per milliliter [ng/mL]) and COVID-19 negative (1.86 ± 0.92 ng/mL) patients (P < 0.001). In the COVID-19 positive group, SCUBE-1 levels increased with disease severity (mild = 3.20 ± 1.65 ng/mL, moderate = 4.78 ± 2.26 ng/mL, severe = 13.68 ± 3.95 ng/mL, and critical = 21.87 ± 5.39 ng/mL) (P < 0.001). The initial SCUBE-1 levels of discharged patients were significantly lower than those requiring hospitalization (discharged = 2.89 ng/mL [0.55-8.60 ng/mL]; ward admitted = 7.13 ng/mL [1.38-21.29 ng/mL], and ICU admitted = 21.19 ng/mL [10.58-37.86 ng/mL]) (P < 0.001).

Conclusion

The SCUBE-1 levels were found to be differentiated between patients with and without COVID-19 and to be correlated with the severity of illness.

A Retrospective Analysis of Thrombosis and COVID-19 Mortality in Rural Midwestern Population

Background COVID-19 disease has caused a major global impact on health and mortality. This infection may predispose patients to thrombotic disease, caused by excessive inflammation, endothelial dysfunction, platelet activation, and stasis. In this study, we compared mortality rates in patients admitted to the hospital with the diagnosis of COVID-19, who also had the additional diagnosis of thrombosis with those who did not have thrombosis as an additional diagnosis. Methods This retrospective observational study compared mortality rates in patients admitted to the hospital with the diagnosis of COVID-19, with and without thrombosis, as well as those patients admitted to the hospital with the diagnosis of thrombosis who did not have COVID-19. The diagnoses were verified using International Classification of Diseases Tenth Revision (ICD-10) codes, a standard among electronic medical records (EMR). The data were taken from the EMR at Freeman Health System in Joplin and Neosho, Missouri, from April 2020 to December 2021. This patient population is representative of not only Southwest Missouri but also the four-state area, including Oklahoma, Arkansas, and Kansas. The ICD-10 codes were used to separate the patient population into three main groups as follows: patients diagnosed with COVID-19 without thrombosis, patients diagnosed with thrombosis without COVID-19, and patients diagnosed with both COVID-19 and thrombosis. These three categories were then subdivided by age and biological sex. Sample proportions were completed using Wald's method, and the two-sample proportion summary hypothesis test with confidence intervals was used for the proportion difference. Results A total of 3,094 patients were included in the study population. Excluded from the study were patients who were previously admitted to a hospital for COVID-19 and duplicate admissions. The mortality rate was highest (0.4714) in patients concurrently diagnosed with COVID-19 and thrombosis (Population 1 {P1}), followed by patients diagnosed with COVID-19 without thrombosis (Population 2 {P2}, 0.1187). Patients diagnosed with thrombosis without COVID-19 (Population 3 {P3}, 0.1216) had the lowest mortality. Two sample proportion hypothesis tests determined confidence intervals (CI) for mortality risk comparing P3 to P1 (95% CI: 0.2888-0.4108, p<0.0001) and P2 to P1 (95% CI: 0.2919-0.4135, p<0.0001). Discussion In this rural, Midwestern population, patients admitted to the hospital with the diagnosis of COVID-19 and thrombosis had significantly increased mortality rates compared to patients admitted with the diagnosis of COVID-19 or thrombosis alone. Conclusion The data from this study indicated that individuals diagnosed with both COVID-19 and thrombosis had a higher likelihood of mortality compared to those diagnosed with COVID-19 without thrombosis and those diagnosed with thrombosis without COVID-19. This information could assist physicians in determining treatment plans for patients diagnosed with COVID-19 and a secondary complication of thrombosis.

Potential protective association of the AA genotype and a allele of CXCR4 rs2228014 polymorphism with COVID-19 severity in adult egyptians

BACKGROUND

By the end of December 2019, a new coronavirus, termed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged, and the cause of the disease was named coronavirus disease 2019 (COVID-19). Several genetic factors have been implicated in diverse responses to SARS-CoV-2 infection, such as the C-X-C chemokine receptor 4 (CXCR4) rs2228014 polymorphism, which has been previously studied in various diseases but has not been explored in the context of COVID-19 severity. The current study aimed to assess the association between the rs2228014 polymorphism in the CXCR4 gene and the severity of COVID-19, which has not been previously reported.

METHOD

This cross-sectional study analyzed 300 adult Egyptian COVID-19 patients (156 with mild or moderate and 144 with severe or critical symptoms) admitted to Assiut University Quarantine Hospital from June to September 2022 during the omicron variant. The rs2228014 polymorphism in the CXCR4 gene was detected using real-time PCR with a TaqMan assay probe. Receiver operating characteristic (ROC) curve analysis was used to determine the best cutoff values for C-reactive protein (CRP) that can be used to estimate the severity of COVID-19. P values less than 0.05 were considered to indicate statistical significance.

RESULTS

No significant differences in the allelic or genotypic frequencies of CXCR4 rs2228014 were detected between the severity groups. However, the exclusive presence of the AA genotype in mild or moderate cases suggests its potential protective role. Additionally, significant differences in myalgia presentation, leukocyte counts and antibiotic use, were observed among different genotypes. Statistical data showed that the severity of COVID-19 could be predicted at a cutoff value of CRP > 30 mg/L, with a sensitivity of 74.3% and a specificity of 42.9%.

CONCLUSION

The present findings suggest a potential protective role of the AA genotype and A allele of CXCR4 rs2228014 against severe COVID-19. Additionally, factors such as lack of vaccination and comorbidities such as hypertension, renal disease, and diabetes mellitus were associated with increased disease severity.

Gradient nanoplasmonic imaging metasurface for rapid and label-free detection of SARS-CoV-2 sequences

Compact and user-friendly nucleic acid biosensors play a crucial role in advancing infectious disease research, particularly for coronavirus (COVID-19). While nanophotonic metasurface sensors hold promise for high-performance sensing, they face challenges due to their complexity and bulky readout instruments. In this study, we propose a gradient nanoplasmonic imaging (GNI) metasurface that incorporates the concept of an optical potential well, enabling label-free single-step detection of SARS-CoV-2 sequences. The metasurface sensor consists of nanopillars with continuous variations, forming an optical potential well that results in a centimeter-scale dark ring. This dynamic well exhibits high sensitivity to refractive index changes, recorded by a CCD. To further enhance the visualized sensing performance, plasmonic coupling of gold nanoparticles with the gold nanostructure is employed. Our metasurface-based biosensor achieves rapid single-step detection of SARS-CoV-2 sequences, with a low detection limit of 77.2 pM and a detection range of 0.1-100 nM. This biosensor not only demonstrates exceptional reproducibility and outstanding detection performance, but also maintains remarkable specificity in differentiating SARS-CoV-2 from other diseases with similar symptoms. This simple and spectrometer-free refractometric sensing scheme enables the construction of a compact and cost-efficient prototype. Our imaging-based metasurface biosensing strategy demonstrates valuable merits for rapid, sensitive, and quantitative detection, showcasing its potential as a valuable on-site nucleic acid diagnostic tool.

Increased interleukin-6 levels are associated with atrioventricular conduction delay in severe COVID-19 patients

Background

Severely ill patients with coronavirus disease 2019 (COVID-19) show an increased risk of new-onset atrioventricular blocks (AVBs), associated with high rates of short-term mortality. Recent data suggest that the uncontrolled inflammatory activation observed in these patients, specifically interleukin (IL)-6 elevation, may play an important pathogenic role by directly affecting cardiac electrophysiology. The aim of our study was to assess the acute impact of IL-6 changes on electrocardiographic indices of atrioventricular conduction in severe COVID-19.

Methods

We investigated (1) the behavior of PR-interval and PR-segment in patients with severe COVID-19 during active phase and recovery, and (2) their association with circulating IL-6 levels over time.

Results

During active disease, COVID-19 patients showed a significant increase of PR-interval and PR-segment. Such atrioventricular delay was transient as these parameters rapidly normalized during recovery. PR-indices significantly correlated with circulating IL-6 levels over time. All these changes and correlations persisted also in the absence of laboratory signs of cardiac strain/injury or concomitant treatment with PR-prolonging drugs, repurposed or not.

Conclusions

Our study provides evidence that in patients with severe COVID-19 and high-grade systemic inflammation, IL-6 elevation is associated with a significant delay of atrioventricular conduction, independent of concomitant confounding factors. While transient, such alterations may enhance the risk of severe AVB and associated short-term mortality. Our data provide further support to current anti-inflammatory strategies for severe COVID-19, including IL-6 antagonists.

Skin Necrosis Due to Misuse of a COVID-19 Antigen Home Test Kit: A Case Report

Background: Many people are still infected with coronavirus disease 2019 (COVID-19), and the use of home test kits for diagnosis is becoming common. The misuse of the kits may cause unexpected patient harm. Purpose: The purpose of this case study was to report a rare case of facial skin necrosis caused by contact with a reagent in a COVID-19 Ag home test kit due to misuse of the kit. Case Study: A 50-year-old male patient with pain, redness, and swelling throughout the nose, right ocular area, and forehead visited the emergency room of the hospital. The symptoms were caused by using a COVID-19 Ag home test kit in the wrong way. Initially, partial skin color change and ulcerative skin lesions with pus-like discharge were observed throughout the wound. Finally, partial skin necrosis progressed and was treated using appropriate dressing treatment, antibiotics, and steroids. Conclusion: The use of COVID-19 Ag home test kits that can be easily used will gradually increase. As in this case, it should be kept in mind that problems due to incorrect use of COVID-19 Ag home test kits can occur, and initial treatment is important to prevent systemic infection or scar formation.

Association between Liver Damage and Disease Progression Markers with Mortality Risk and Mechanical Ventilation in Hospitalized COVID-19 Patients: A Nationwide Retrospective SARSTer Study

(1) Background: Liver damage is an important component of acute COVID-19, and the advancement of preexisting liver disease is associated with a worse prognosis; (2) Methods: A nationwide retrospective study including 7444 patients aimed to evaluate levels of selected markers of liver damage and disease advancement and their association with mortality and mechanical ventilation (MV); (3) Results: Elevation of the following markers in multivariate models were associated with increased odds of mortality: Alanine transaminase (ALT), aspartate transaminase (AST), gamma-glutamyltransferase (GGT), lactate dehydrogenase (LDH), fibrosis-4 score (FIB-4), AST-to-platelet ratio index (APRI), and decreased levels of platelet count (PLT). Elevated levels of AST, LDH, APRI, FIB-4, and the AST/ALT ratio and decreased levels of PLT were associated with increased odds of MV in multivariate models. The best predictive accuracy against mortality was achieved with FIB-4 with AUC = 0.733 (95% CI, 0.718-0.749) at the optimal cut-off point of 2.764, while against MV was achieved with LDH with AUC = 0.753 (95% CI, 0.727-0.778) at the optimal cut-off point of 449.5 IU/L. (4) Conclusions: Our study confirms that the advancement of liver damage contributes to a worse prognosis in COVID-19 patients. Markers for liver damage and the advancement of liver disease can provide predictive value in clinical practice among COVID-19 patients.

Split crRNA with CRISPR-Cas12a enabling highly sensitive and multiplexed detection of RNA and DNA

The CRISPR-Cas12a system has revolutionized nucleic acid testing (NAT) with its rapid and precise capabilities, yet it traditionally required RNA pre-amplification. Here we develop rapid fluorescence and lateral flow NAT assays utilizing a split Cas12a system (SCas12a), consisting of a Cas12a enzyme and a split crRNA. The SCas12a assay enables highly sensitive, amplification-free, and multiplexed detection of miRNAs and long RNAs without complex secondary structures. It can differentiate between mature miRNA and its precursor (pre-miRNA), a critical distinction for precise biomarker identification and cancer progression monitoring. The system's specificity is further highlighted by its ability to detect DNA and miRNA point mutations. Notably, the SCas12a system can quantify the miR-21 biomarker in plasma from cervical cancer patients and, when combined with RPA, detect HPV at attomole levels in clinical samples. Together, our work presents a simple and cost-effective SCas12a-based NAT platform for various diagnostic settings.

Optimizing total RNA extraction method for human and mice samples

Background

Extracting high-quality total RNA is pivotal for advanced RNA molecular studies, such as Next-generation sequencing and expression microarrays where RNA is hybridized. Despite the development of numerous extraction methods in recent decades, like the cetyl-trimethyl ammonium bromide (CTAB) and the traditional TRIzol reagent methods, their complexity and high costs often impede their application in small-scale laboratories. Therefore, a practical and economical method for RNA extraction that maintains high standards of efficiency and quality needs to be provided to optimize RNA extraction from human and mice tissues.

Method

This study proposes enhancements to the TRIzol method by incorporating guanidine isothiocyanate (GITC-T method) and sodium dodecyl sulfate (SDS-T method). We evaluated the effectiveness of these modified methods compared to the TRIzol method using a micro-volume UV-visible spectrophotometer, electrophoresis, q-PCR, RNA-Seq, and whole transcriptome sequencing.

Result

The micro-volume UV-visible spectrophotometer, electrophoresis, and RNA-Seq demonstrated that the GITC-T method yielded RNA with higher yields, integrity, and purity, while the consistency in RNA quality between the two methods was confirmed. Taking mouse cerebral cortex tissue as a sample, the yield of total RNA extracted by the GITC-T method was 1,959.06 ± 49.68 ng/mg, while the yield of total RNA extracted by the TRIzol method was 1,673.08 ± 86.39 ng/mg. At the same time, the OD260/280 of the total RNA samples extracted by the GITC-T method was 2.03 ± 0.012, and the OD260/230 was 2.17 ± 0.031, while the OD260/280 of the total RNA samples extracted by the TRIzol method was 2.013 ± 0.041 and the OD260/230 was 2.11 ± 0.062. Furthermore, q-PCR indicated that the GITC-T method achieved higher yields, purity, and greater transcript abundance of total RNA from the same types of animal samples than the TRIzol method.

Conclusion

The GITC-T method not only yields higher purity and quantity of RNA but also reduces reagent consumption and overall costs, thereby presenting a more feasible option for small-scale laboratory settings.

Exploring the relationship between cycle threshold values and oral manifestations in COVID-19: a comprehensive overview

OBJECTIVE

This cross-sectional study aimed to compare oral manifestations between severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)-positive and SARS-CoV-2-negative patients and to examine associations between oral symptoms, Ct values of E and N SARS-CoV-2 viral genes, and the implications of low Ct values indicating a high viral load, which is a predictive factor for the outcome of COVID-19.

METHODS

A total of 353 participating patients were aged ≥18 years with clinical manifestations of COVID-19 infection and tested for SARS-CoV-2 carriage at the medical center, by reverse transcriptase polymerase chain reaction (RT-PCR). All patients filled out an anonymous digital questionnaire regarding oral and general symptoms and overall medical health.  Results: A significant association was found between SARS-CoV-2 carriage and dry mouth, unpleasant taste and changes in taste (p < 0.001); for example, 37.4% of the 147 SARS-CoV-2- positive participants had a dry mouth, compared to 18.9% of the 206 SARS-CoV-2- negative participants. Oral blisters were experienced by patients with an E gene Ct value of 10-20 (50%) or 21-30 (50%) (p = 0.041). Bad breath, dry mouth, unpleasant taste and changes in taste were mostly present in participants whose Ct values of both E and N genes were between 21 and 30.  Conclusions: This study found significant associations between low Ct values of E and N SARS-CoV-2 viral genes and high viral load, indicating that Ct values can serve as predictive factors for COVID-19 outcomes. The findings suggest that while oral symptoms are present, the Ct values and associated high viral loads are more critical indicators of disease severity and prognosis.

Exploring Prehospital Data for Pandemic Preparedness: A Western Brazilian Amazon Case Study on COVID-19

BACKGROUND

The timely management of rapidly evolving epidemiological scenarios caused by disease outbreaks is crucial to prevent devastating consequences. However, delayed laboratory diagnostics can hamper swift health policy and epidemic response, especially in remote regions such as the western Brazilian Amazon. The aim of the article is to analyze the impact of the COVID-19 pandemic on the volume and characteristics of emergency medical services (EMS) in Manaus, focusing on how the pandemic affected sensitive indicators such as response time and the use of advanced life support ambulances. Additionally, the study seeks to understand how changes in prehospital EMS patterns, triggered by the pandemic, could be utilized as health surveillance tools, enabling a more rapid response in epidemic scenarios.

METHODS

This retrospective, descriptive study included data from the SAMU (Serviço de Atendimento Móvel de Urgência) medical records between January and June 2020.

RESULTS

A total of 45,581 calls resulted in mobile units being dispatched during this period. These patients were predominantly male (28,227, 61.9%), with a median age of 47 years (IQR 30-67). The median response time significantly increased during the pandemic, reaching a median of 45.9 min (IQR 30.6-67.7) (p < 0.001). EMS calls were reduced for trauma patients and increased for other medical emergencies, especially respiratory conditions, concomitantly to an escalation in the number of deaths caused by SARS and COVID-19 (p < 0.001). The employment of advanced life support ambulances was higher during the pandemic phase (p = 0.0007).

CONCLUSION

The COVID-19 pandemic resulted in a temporary disorder in the volume and reason for EMS calls in Manaus. Consequently, sensitive indicators like the response time and the employment of advanced life support ambulances were negatively affected. Sudden prehospital EMS pattern changes could play an important role in health surveillance systems, allowing for earlier establishment of countermeasures in epidemics. The impact of the COVID-19 pandemic on prehospital EMS and its role in health surveillance should be further explored.

The Role of ACE2 in Neurological Disorders: From Underlying Mechanisms to the Neurological Impact of COVID-19

Angiotensin-converting enzyme 2 (ACE2) has become a hot topic in neuroscience research in recent years, especially in the context of the global COVID-19 pandemic, where its role in neurological diseases has received widespread attention. ACE2, as a multifunctional metalloprotease, not only plays a critical role in the cardiovascular system but also plays an important role in the protection, development, and inflammation regulation of the nervous system. The COVID-19 pandemic further highlights the importance of ACE2 in the nervous system. SARS-CoV-2 enters host cells by binding to ACE2, which may directly or indirectly affect the nervous system, leading to a range of neurological symptoms. This review aims to explore the function of ACE2 in the nervous system as well as its potential impact and therapeutic potential in various neurological diseases, providing a new perspective for the treatment of neurological disorders.

A Multi-Machine Learning Consensus Model Based on Clinical Features Reveals That Interleukin-10 Derived from Monocytes Leads to a Poor Prognosis in Patients with Coronavirus Disease-2019

Background

Despite ongoing interventions, SARS-CoV-2 continues to cause significant global morbidity and mortality. Early diagnosis and intervention are crucial for effective clinical management. However, prognostic features based on transcriptional data have shown limited effectiveness, highlighting the need for more precise biomarkers to improve COVID-19 treatment outcomes.

Methods

We retrospectively analyzed 149 clinical features from 189 COVID-19 patients, identifying prognostic features via univariate Cox regression. The cohort was split into training and validation sets, and 77 prognostic models were developed using seven machine learning algorithms. Among these, the least absolute shrinkage and selection operator (Lasso) method was employed to refine the selection of prognostic variables by ten-fold cross-validation strategy, which were then integrated with random survival forests (RSF) to build a robust COVID-19-related prognostic model (CRM). Model accuracy was evaluated across training, validation, and entire cohorts. The diagnostic relevance of interleukin-10 (IL-10) was confirmed in bulk transcriptional data and validated at the single-cell level, where we also examined changes in cellular communication between mononuclear cells with differing IL-10 expression and other immune cells.

Results

Univariate Cox regression identified 43 prognostic features. Among the 77 machine learning models, the combination of Lasso and RSF produced the most robust CRM. This model consistently performed well across training, validation, and entire cohorts. IL-10 emerged as a key prognostic feature within the CRM, validated by single-cell transcriptional data. Transcriptome analysis confirmed the stable diagnostic value of IL-10, with mononuclear cells identified as the primary IL-10 source. Moreover, differential IL-10 expression in these cells was linked to altered cellular communication in the COVID-19 immune microenvironment.

Conclusion

The CRM provides accurate prognostic predictions for COVID-19 patients. Additionally, the study underscores the importance of early IL-10 level testing upon hospital admission, which could inform therapeutic strategies.

Effects of COVID-19 on the cardiovascular system: A mendelian randomization study

Infections with the coronavirus disease 2019 (COVID-19) and disorders of the heart and blood vessels are causally related. To ascertain the causal relationship between COVID-19 and cardiovascular disease (CVD), we carried out a Mendelian randomization (MR) study through a method known as inverse variance weighting (IVW). When analyzing multiple SNPs, MR can meta-aggregate the effects of multiple loci by using IVW meta-pooling method. The weighted median (WM) is the median of the distribution function obtained by ranking all individual SNP effect values according to their weights. WM yields robust estimates when at least 50% of the information originates from valid instrumental variables (IVs). Directed gene pleiotropy in the included IVs is permitted because MR-Egger does not require a regression straight line through the origin. For MR estimation, IVW, WM and MR-Egger were employed. Sensitivity analysis was conducted using funnel plots, Cochran's Q test, MR-Egger intercept test, MR-PRESSO, and leave-one-out analysis. SNPs related to exposure to COVID-19 and CVD were compiled. CVD for COVID-19 infection, COVID-19 laboratory/self-reported negative, and other very severe respiratory diagnosis and population were randomly assigned using MR. The COVID-19 laboratory/self-reported negative results and other very severe respiratory confirmed cases versus MR analysis of CVD in the population (p ​> ​0.05); COVID-19 infection to CVD (p ​= ​0.033, OR ​= ​1.001, 95%CI: 1.000-1.001); and the MR-Egger results indicated that COVID-19 infection was associated with CVD risk. This MR study provides preliminary evidence for the validity of the causal link between COVID-19 infection and CVD.

Sarcoidosis in a young adult: A rare sequelae of COVID-19 infection

Key Clinical Message

This case illustrates sarcoidosis as a potential complication of COVID-19, highlighting the need for a comprehensive diagnostic approach, including histopathology and prolonged monitoring, to distinguish it from post-COVID fibrosis. Further research is crucial to elucidate these associations and understand their underlying mechanisms.

Abstract

Severe Acute Respiratory Syndrome Coronavirus- 2 (SARS-CoV-2), a positive-sense single-stranded RNA virus, causes COVID-19 and has been linked to autoimmune disorders. Sarcoidosis is a multi-system disease that is frequently triggered by infections. It is characterized by non-necrotizing granulomas in multiple organs. We present a case of sarcoidosis as rare sequelae of COVID-19. A 26-year-old man presented with mild COVID-19 symptoms, followed by prolonged fever and cough despite initial therapy, prompting a provisional diagnosis of post-COVID fibrosis. A subsequent assessment at a tertiary hospital revealed dyspnea, weight loss, and abnormal chest imaging, all of which were consistent with pulmonary sarcoidosis with pulmonary tuberculosis as a differential diagnosis. A biopsy taken during bronchoscopy confirmed pulmonary sarcoidosis and treatment with inhalation steroids resulted in symptom relief, which was followed by remission with oral steroid therapy. Sarcoidosis is a systemic disease of unknown etiology, characterized by non-necrotizing granulomas in multiple organs. It may be triggered by infections and involves an abnormal immune response. COVID-19 can potentially initiate sarcoidosis, with both sharing common immune mechanisms. Diagnosis involves imaging and biopsy, and treatment typically includes glucocorticoids and regular monitoring. This case report emphasizes the potential link between COVID-19 and autoimmune conditions like sarcoidosis, highlighting the need for a comprehensive diagnostic approach and long-term observation to distinguish between sarcoidosis and post-COVID fibrosis.

First metagenomic analysis of virome in Uzbekistan honey bee (Apis mellifera): Investigating basic information on honey bee viruses

Honey bees are economically important insects. However, they face multiple biotic and abiotic stresses, such as diseases, pesticides, climate change, and pests, which cause the loss of honey bee colonies worldwide. Among these factors, viruses have been identified as the major cause of colony loss. Research on honey bee viruses in Uzbekistan is limited. This study investigated the viruses affecting honey bees in Uzbekistan. Virome analysis was conducted for each sample using high-throughput sequencing and bioinformatics. Nine honey bee viruses have been identified: the acute bee paralysis virus, aphid lethal paralysis virus, Apis rhabdovirus 1 and 2, black queen cell virus, deformed wing virus, Lake Sinai virus 10, sacbrood virus, and Hubei partiti-like virus 34. Additionally, 15 plant viruses were identified, 7 of which were novel. This study is the first virome analysis of Uzbekistan honey bees and provides a foundation for understanding the viruses affecting honey bees and plants in Uzbekistan.

Long-term effect of corticosteroid treatment during acute COVID-19 infection on pulmonary function test results

Background

The outbreak of the novel coronavirus 19 has led to unprecedented clinical challenges globally. Various therapeutic and pharmacologic interventions have been proposed, yet evidence of their long-term efficacy remains limited. Corticosteroids (CS) have shown efficacy in the sub-acute phase of the pandemic. This study aims to evaluate the long-term effects on pulmonary function tests (PFTs) in patients treated with CS during acute coronavirus disease 2019 (COVID-19) infection.

Methods

A retrospective study was conducted from February 2020 to March 2021. Clinical and demographic data were extracted from electronic medical records of patients attending the post-COVID outpatient clinic at the Pulmonary Institute of Soroka University Medical Center. A multivariate linear mixed effects model was employed to obtain adjusted estimates for the impact over time.

Results

The study included 405 patients, of whom 155 (38.3%) received CS treatment. Approximately 60% completed two or more follow-up visits. PFTs [forced expiratory volume in the first second (FEV1), forced vital capacity (FVC)] returned to baseline more rapidly (0.9% and 0.85% per month, respectively) in patients treated with CS. This accelerated recovery was observed across all patients, including those with a body mass index (BMI) above 30 kg/m2 and those with known chronic lung disease.

Conclusions

Systemic CS treatment during acute COVID-19 infection was associated with a faster recovery of PFTs during long-term follow-up, even among subgroups at higher risk of long-term pulmonary damage.

Frontiers and hotspots in anxiety disorders: A bibliometric analysis from 2004 to 2024

Objective

This study aimed to analyze research on anxiety disorders using VOSviewer and CiteSpace to identify research hotspots and future directions.

Methods

We conduct ed a comprehensive search on the Web of Science Core Collection (WoSCC) for relevant studies about anxiety disorders published within the past two decades (from 2004 to 2024). VOSviewer and CiteSpace were mainly used to analyze the authors, institutions, countries, publishing journals, reference co-citation patterns, keyword co-occurrence, keyword clustering, and other aspects to construct a knowledge atlas.

Results

A total of 22,267 publications related to anxiety disorders were retrieved. The number of publications about anxiety disorders has generally increased over time, with some fluctuations. The United States emerged as the most productive country, with Harvard University identified as the most prolific institution and Brenda W. J. H. Penninx as the most prolific author in the field.

Conclusion

This research identified the most influential publications, authors, journals, institutions, and countries in the field of anxiety research. Future research directions are involved advanced treatments based on pharmacotherapy, psychotherapy and digital interventions, mechanism exploration to anxiety disorders based on neurobiological and genetic basis, influence of social and environmental factors on the onset of anxiety disorders.

Mini-Program Enabled IoT Intelligent Molecular Diagnostic Device for Co-Detection and Spatiotemporal Mapping of Infectious Disease Pathogens

Effective detection of infectious pathogens is crucial for disease prevention and control. We present an innovative Internet of Things (IoT) molecular diagnostic device featuring a WeChat mini-program for simultaneous detection and spatiotemporal mapping of respiratory pathogens. Leveraging social software's widespread usage, our device integrates seamlessly with WeChat, eliminating the need for app downloads and installations. Through a comprehensive detection system, including a user-friendly mini-program, a portable Point-of-Care fluorescence detector, and a diagnostic information management platform (EzDx Cloud), we demonstrate high sensitivity and specificity in detecting common respiratory viruses. Our SARS-CoV-2/H1N1 combo test kit, developed using a novel one-tube/one-step loop-mediated isothermal amplification-CRISPR method, shows remarkable performance. We address challenges in at-home nucleic acid testing by providing a cost-effective solution capable of detecting multiple pathogens simultaneously. Our system's versatility accommodates various assays operating at different temperatures and fluorescence intensities, offering significant advantages over traditional methods. Moreover, integration with EzDx Cloud facilitates disease monitoring and early warning systems, enhancing public health management. This study highlights the potential of our IoT molecular diagnostic device in revolutionizing infectious disease detection and control, with wide-ranging applications in both human and animal population.

Therapeutic effects of high-dose vitamin C supplementation in patients with COVID-19: a meta-analysis

CONTEXT

Coronavirus disease 2019 (COVID-19) could induce the "cytokine storm" due to overactivation of immune system and accompanied by acute respiratory distress syndrome as a serious complication. Vitamin C has been effective in improving lung function of patients by reducing inflammation.

OBJECTIVE

The aim was to explore the therapeutic effects of high-dose vitamin C supplementation for patients with COVID-19 using meta-analysis.

DATA SOURCES

Published studies were searched from PubMed, Cochrane Library, Web of Science, EMBASE, and China National Knowledge Infrastructure databases up to August 2022 using the terms "vitamin C" and "COVID-19". Data analyses were performed independently by 2 researchers using the PRISMA guidelines.

DATA EXTRACTION

Heterogeneity between the included studies was assessed using I2 statistics. When I2 ≥50%, the random-effects model was used; otherwise, a fixed-effects model was applied. Stata 14.0 software was used to pool data by standardized mean differences (SMDs) with 95% CIs or odds ratios (ORs) with 95% CIs.

DATA ANALYSIS

The 14 studies had a total of 751 patients and 1583 control participants in 7 randomized controlled trials and 7 retrospective studies. The vitamin C supplement significantly increased ferritin (SMD = 0.272; 95% CI: 0.059 to 0.485; P = 0.012) and lymphocyte count levels (SMD = 0.376; 95% CI: 0.153 to 0.599; P = 0.001) in patients with COVID-19. Patients administered vitamin C in the length of intensive care unit staying (SMD = 0.226; 95% CI: 0.073 to 0.379; P = 0.004). Intake of vitamin C prominently alleviate disease aggravation (OR = 0.344, 95%CI: 0.135 to 0.873, P = 0.025).

CONCLUSIONS

High-dose vitamin C supplementation can alleviate inflammatory response and hinder the aggravation of COVID-19.

Analysis of Ferritin, Hepcidin, Zinc, C-Reactive Protein and IL-6 Levels in COVID-19 in Patients Living at Different Altitudes in Peru

BACKGROUND

Despite great scientific efforts, understanding the role of COVID-19 clinical biomarkers remains a challenge.

METHODS

A cross-sectional descriptive study in two Peruvian cities at different altitudes for comparison: Lima and Huaraz. In each place, three groups were formed, made up of 25 patients with COVID-19 in the ICU, 25 hospitalized patients with COVID-19 who did not require the ICU, and 25 healthy subjects as a control group. Five biomarkers were measured: IL-6, hepcidin, ferritin, C-reactive protein, and zinc using ELISA assays.

RESULTS

Ferritin, C-reactive protein, and IL-6 levels were significantly higher in the ICU and non-ICU groups at both study sites. In the case of hepcidin, the levels were significantly higher in the ICU group at both study sites compared to the non-ICU group. Among the groups within each study site, the highest altitude area presented statistically significant differences between its groups in all the markers evaluated. In the lower altitude area, differences were only observed between the groups for the zinc biomarker.

CONCLUSION

COVID-19 patients residing at high altitudes tend to have higher levels of zinc and IL-6 in all groups studied compared to their lower altitude counterparts.

Immune Stimulation with Imiquimod to Best Face SARS-CoV-2 Infection and Prevent Long COVID

Through widespread immunization against SARS-CoV-2 prior to or post-infection, a substantial segment of the global population has acquired both humoral and cellular immunity, and there has been a notable reduction in the incidence of severe and fatal cases linked to this virus and accelerated recovery times for those infected. Nonetheless, a significant demographic, comprising around 20% to 30% of the adult population, remains unimmunized due to diverse factors. Furthermore, alongside those recovered from the infection, there is a subset of the population experiencing persistent symptoms referred to as Long COVID. This condition is more prevalent among individuals with underlying health conditions and immune system impairments. Some Long COVID pathologies stem from direct damage inflicted by the viral infection, whereas others arise from inadequate immune system control over the infection or suboptimal immunoregulation. There are differences in the serum cytokines and miRNA profiles between infected individuals who develop severe COVID-19 or Long COVID and those who control adequately the infection. This review delves into the advantages and constraints associated with employing imiquimod in human subjects to enhance the immune response during SARS-CoV-2 immunization. Restoration of the immune system can modify it towards a profile of non-susceptibility to SARS-CoV-2. An adequate immune system has the potential to curb viral propagation, mitigate symptoms, and ameliorate the severe consequences of the infection.

Predictive Value and Diagnostic Potential of IL-10, IL-17A, IL1-β, IL-6, CXCL, and MCP for Severe COVID-19 and COVID-19 Mortality

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) necessitates advanced prognostic tools to anticipate disease progression and optimize patient outcomes. This study evaluates the predictive value and diagnostic potential of interleukins interleukin (IL) IL-10, IL-17A, IL1-β, IL-6, chemokine ligand (CXCL), and Monocyte Chemotactic Protein (MCP) for severe coronavirus disease 2019 (COVID-19) and COVID-19 mortality, aiming to correlate cytokine levels with disease severity. Conducted from January 2023 to January 2024, this prospective cohort study involved patients hospitalized with moderate and severe COVID-19 from Romania. This study analyzed statistically significant predictors of severe COVID-19 outcomes. IL-6 and MCP emerged as significant, with hazard ratios (HRs) of 2.35 (95% confidence interval (CI): 1.54-3.59, p = 0.014) and 2.05 (95% CI: 1.22-3.45, p = 0.007), respectively. Compound scores integrating multiple inflammatory markers also demonstrated predictive value; Compound Score 2 had an HR of 2.23 (95% CI: 1.35-3.68, p = 0.002), surpassing most single markers in association with severe disease. Notably, interleukins IL-10 and IL-1β did not show significant associations with disease severity. This study underscores the importance of IL-6 and MCP as robust predictors of severe COVID-19, substantiating their role in clinical assessments to foresee patient deterioration. The utility of compound scores in enhancing predictive accuracy suggests a composite approach may be more effective in clinical settings.

Uncertainties experienced by nursing professionals who contracted Covid-19: a priori, everyone is human

OBJECTIVE

To analyze the uncertainties experienced by nursing professionals who contracted COVID-19.

METHODS

This qualitative research was conducted with 20 nursing professionals who fell ill from COVID-19. Data collection was carried out through semi-structured interviews; the data were then organized using thematic analysis and discussed in the context of Merle Mishel's Reconceptualized of Uncertainty in Illness Theory.

RESULTS

The antecedents of the disease had a strong influence on how nursing professionals who contracted COVID-19 perceived uncertainty. The media coverage of the increasing number of cases, the collapse of the healthcare system, and the high mortality rate contributed to associating the disease with fear and panic.

FINAL CONSIDERATIONS

Viewing it from the perspective of the disease's antecedents, the illness of a nursing professional from COVID-19 underscores that before being professionals, they are human beings just like anyone else, undergoing adversities and facing the possibilities associated with being ill.

Exploring the potential mechanisms of Danshen against COVID-19 via network pharmacology analysis and molecular docking

Danshen, a prominent herb in traditional Chinese medicine (TCM), is known for its potential to enhance physiological functions such as blood circulation, immune response, and resolve blood stasis. Despite the effectiveness of COVID-19 vaccination efforts, some individuals still face severe complications post-infection, including pulmonary fibrosis, myocarditis arrhythmias and stroke. This study employs a network pharmacology and molecular docking approach to investigate the potential mechanisms underlying the therapeutic effects of candidate components and targets from Danshen in the treatment of complications in COVID-19. Candidate components and targets from Danshen were extracted from the TCMSP Database, while COVID-19-related targets were obtained from Genecards. Venn diagram analysis identified common targets. A Protein-Protein interaction (PPI) network and gene enrichment analysis elucidated potential therapeutic mechanisms. Molecular docking evaluated interactions between core targets and candidate components, followed by molecular dynamics simulations to assess stability. We identified 59 potential candidate components and 123 targets in Danshen for COVID-19 treatment. PPI analysis revealed 12 core targets, and gene enrichment analysis highlighted modulated pathways. Molecular docking showed favorable interactions, with molecular dynamics simulations indicating high stability of key complexes. Receiver operating characteristic (ROC) curves validated the docking protocol. Our study unveils candidate compounds, core targets, and molecular mechanisms of Danshen in COVID-19 treatment. These findings provide a scientific foundation for further research and potential development of therapeutic drugs.

Multifunctional self-priming hairpin probe-based isothermal nucleic acid amplification and its applications for COVID-19 diagnosis

We herein present a multifunctional self-priming hairpin probe-based isothermal amplification, termed MSH, enabling one-pot detection of target nucleic acids. The sophisticatedly designed multifunctional self-priming hairpin (MSH) probe recognizes the target and rearranges to prime itself, triggering the amplification reaction powered by the continuously repeated extension, nicking, and target recycling. As a consequence, a large number of double-stranded DNA (dsDNA) amplicons are produced that could be monitored in real-time using a dsDNA-intercalating dye. Based on this unique design approach, the nucleocapsid (N) and the open reading frame 1 ab (ORF1ab) genes of SARS-CoV-2 were successfully detected down to 1.664 fM and 0.770 fM, respectively. The practical applicability of our method was validated by accurately diagnosing 60 clinical samples with 93.33% sensitivity and 96.67% specificity. This isothermal one-pot MSH technique holds great promise as a point-of-care testing protocol for the reliable detection of a wide spectrum of pathogens, particularly in resource-limited settings.

Evaluation of self-collected nasal, urine, and saliva samples for molecular detection of SARS-CoV-2 using an EUA approved RT-PCR assay and a laboratory developed LAMP SARS-CoV-2 test

As the SARS-CoV-2 virus spread throughout the world, millions of positive cases of COVID-19 were registered and, even though there are millions of people already vaccinated against SARS-CoV-2, a large part of the global population remains vulnerable to contracting the virus. Massive nasopharyngeal sample collection in Puerto Rico at the beginning of the pandemic was limited by the scarcity of trained personnel and testing sites. To increase SARS-CoV-2 molecular testing availability, we evaluated the diagnostic accuracy of self-collected nasal, saliva, and urine samples using the TaqPath reverse transcription polymerase chain reaction (RT-PCR) COVID-19 kit to detect SARS-CoV-2. We also created a colorimetric loop-mediated isothermal amplification (LAMP) laboratory developed test (LDT) to detect SARS-CoV-2, as another strategy to increase the availability of molecular testing in community-based laboratories. Automated RNA extraction was performed in the KingFisher Flex instrument, followed by PCR quantification of SARS-CoV-2 on the 7500 Fast Dx RT-PCR using the TaqPath RT-PCR COVID-19 molecular test. Data was interpreted by the COVID-19 Interpretive Software from Applied Biosystems and statistically analyzed with Cohen's kappa coefficient (k). Cohen's kappa coefficient (k) for paired nasal and saliva samples showed moderate agreement (0.52). Saliva samples exhibited a higher viral load. We also observed 90% concordance between LifeGene-Biomarks' SARS-CoV-2 Rapid Colorimetric LAMP LDT and the TaqPath RT-PCR COVID-19 test. Our results suggest that self-collected saliva is superior to nasal and urine samples for COVID-19 testing. The results also suggest that the colorimetric LAMP LDT is a rapid alternative to RT-PCR tests for the detection of SARS-CoV-2. This test can be easily implemented in clinics, hospitals, the workplace, and at home; optimizing the surveillance and collection process, which helps mitigate global public health and socioeconomic upheaval caused by airborne pandemics.

Central Countries' and Brazil's Contributions to Nanotechnology

Abstract:

Nanotechnology is a cornerstone of the scientific advances witnessed over the past few years. Nanotechnology applications are extensively broad, and an overview of the main trends worldwide can give an insight into the most researched areas and gaps to be covered. This document presents an overview of the trend topics of the three leading countries studying in this area, as well as Brazil for comparison. The data mining was made from the Scopus database and analyzed using the VOSviewer and Voyant Tools software. More than 44.000 indexed articles published from 2010 to 2020 revealed that the countries responsible for the highest number of published articles are The United States, China, and India, while Brazil is in the fifteenth position. Thematic global networks revealed that the standing-out research topics are health science, energy, wastewater treatment, and electronics. In a temporal observation, the primary topics of research are: India (2020), which was devoted to facing SARS-COV 2; Brazil (2019), which is developing promising strategies to combat cancer; China (2018), whit research on nanomedicine and triboelectric nanogenerators; the United States (2017) and the Global tendencies (2018) are also related to the development of triboelectric nanogenerators. The collected data are available on GitHub. This study demonstrates the innovative use of data-mining technologies to gain a comprehensive understanding of nanotechnology's contributions and trends and highlights the diverse priorities of nations in this cutting-edge field.

SARS-CoV-2 rapid antigen testing positive rate in community testing stations as an indicator for COVID-19 epidemic trend, Taipei, Taiwan, May to August 2021

BACKGROUND

Real-time surveillance of COVID-19 in large-scale community outbreaks presents challenges. Simple counts of the daily confirmed cases can be misleading due to constraints from bottlenecks in access to care or laboratory testing. This study aimed to investigate the role of the SARS-CoV-2 antigen rapid diagnostic test (Ag-RDT) in addressing these challenges for real-time COVID-19 surveillance.

METHODS

This study included the results of 86,933 SARS-CoV-2 Ag-RDT and real-time reverse transcription polymerase chain reaction (RT-PCR) tests. These were conducted at four community testing stations within the Taipei metropolitan area during a community COVID-19 outbreak spanning from May 17, 2021, to August 9, 2021. We examined the correlation between the positive rates of Ag-RDT tests and the epidemic curve of laboratory-confirmed COVID-19 cases by onset date to examine its role in real-time surveillance.

RESULTS

During the 85-day study period, the trend of Ag-RDT test positive rates paralleled that of the epidemic curve. The correlation between the Ag-RDT positive rate and the number of cases (Pearson correlation coefficient: 0.968) is comparable to that of the RT-PCR positive rate (Pearson correlation coefficient: 0.964). The Ag-RDT positive rate exhibited a more advanced leading trend, with Ag-RDT leading by 3 days in comparison to the 2-day lead for RT-PCR.

CONCLUSION

The positive rate of SARS-CoV-2 Ag-RDT tests at community testing stations serves as a good surrogate for assessing virus activity within the community and a useful tool for real-time COVID-19 surveillance. It is a robust indicator of the outbreak trend and near-term numbers of cases. This finding may facilitate the management of subsequent outbreaks of emerging infectious diseases.

SARS-CoV-2 subgenomic RNA: formation process and rapid molecular diagnostic methods

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which caused coronavirus disease-2019 (COVID-19) is spreading worldwide and posing enormous losses to human health and socio-economic. Due to the limitations of medical and health conditions, it is still a huge challenge to develop appropriate discharge standards for patients with COVID-19 and to use medical resources in a timely and effective manner. Similar to other coronaviruses, SARS-CoV-2 has a very complex discontinuous transcription process to generate subgenomic RNA (sgRNA). Some studies support that sgRNA of SARS-CoV-2 can only exist when the virus is active and is an indicator of virus replication. The results of sgRNA detection in patients can be used to evaluate the condition of hospitalized patients, which is expected to save medical resources, especially personal protective equipment. There have been numerous investigations using different methods, especially molecular methods to detect sgRNA. Here, we introduce the process of SARS-CoV-2 sgRNA formation and the commonly used molecular diagnostic methods to bring a new idea for clinical detection in the future.

The Review of Ophthalmic Symptoms in COVID-19

The COVID-19 pandemic caused by SARS-CoV-2 had a significant impact on the health of the global human population, affecting almost every human organ, including the organ of vision. Research focus on understanding the pathophysiology, identifying symptoms and complications of the disease. Eye-related pathologies are important foci of research due to the potential for direct impact of the virus. Ophthalmologists around the world are reporting various symptoms of eye infections and ocular pathologies associated with SARS-CoV-2. The review of ophthalmic symptoms was conducted to help physicians of various specialties recognize possible ophthalmic manifestations of this viral disease. A literature review was conducted from January 2020 to July 2023 in the PubMed, MEDLINE, Science Direct, Scopus, Scielo and Google Scholar databases. The review of the literature showed that conjunctivitis is the most common ophthalmic symptom observed during the course of COVID-19 and can occur at any stage of the disease. Changes in the eye may result from the direct effect of the virus, immune response, prothrombotic states, comorbidities, and medications used. Symptoms related to the organ of vision can be divided into: changes affecting the protective apparatus of the eye, the anterior eye segment, the posterior eye segment, neuro-ophthalmic, and orbital changes. Ocular symptoms may suggest COVID-19 infection or appear several weeks after recovery. Following COVID-19 vaccinations, a diverse range of ophthalmic symptoms was observed in various locations and at different times, mirroring the ocular symptoms experienced throughout the course of the COVID-19 illness. It is important for physicians of all specialties to be aware of possible potential connections between eye diseases and SARS-CoV-2, in order to effectively diagnose and treat patients.

Advancements in SARS-CoV-2 detection: Navigating the molecular landscape and diagnostic technologies

According to information from the World Health Organization, the world has experienced about 430 million cases of COVID-19, a world-wide health crisis caused by the SARS-CoV-2 virus. This outbreak, originating from China in 2019, has led to nearly 6 million deaths worldwide. As the number of confirmed infections continues to rise, the need for cutting-edge techniques that can detect SARS-CoV-2 infections early and accurately has become more critical. To address this, the Federal Drug Administration (FDA) has issued emergency use authorizations (EUAs) for a wide range of diagnostic tools. These include tests based on detecting nucleic acids and antigen-antibody reactions. The quantitative real-time reverse transcription PCR (qRT-PCR) assay stands out as the gold standard for early virus detection. However, despite its accuracy, qRT-PCR has limitations, such as complex testing protocols and a risk of false negatives, which drive the continuous improvement in nucleic acid and serological testing approaches. The emergence of highly contagious variants of the coronavirus, such as Alpha (B.1.1.7), Delta (B.1.617.2), and Omicron (B.1.1.529), has increased the need for tests that can specifically identify these mutations. This article explores both nucleic acid-based and antigen-antibody serological assays, assessing the performance of recently approved FDA tests and those documented in scientific research, especially in identifying new coronavirus strains.

Nanobody in a Double "Y"-Shaped Assembly: A Promising Candidate for Lateral Flow Immunoassays

Derived from camelid heavy-chain antibodies, nanobodies (Nbs) are the smallest natural antibodies and are an ideal tool in biological studies because of their simple structure, high yield, and low cost. Nbs possess significant potential for developing highly specific and user-friendly diagnostic assays. Despite offering considerable advantages in detection applications, knowledge is limited regarding the exclusive use of Nbs in lateral flow immunoassay (LFIA) detection. Herein, we present a novel double "Y" architecture, achieved by using the SpyTag/SpyCatcher and Im7/CL7 systems. The double "Y" assemblies exhibited a significantly higher affinity for their epitopes, as particularly evident in the reduced dissociation rate. An LFIA employing double "Y" assemblies was effectively used to detect the severe acute respiratory syndrome coronavirus-2 N protein, with a detection limit of at least 500 pg/mL. This study helps broaden the array of tools available for the development of Nb-based diagnostic techniques.

Breath of Health: spectroscopy-based breath test for the detection of SARS-CoV-2

BACKGROUND

Nucleic acid amplification tests (NAAT) are considered the gold standard for COVID-19 diagnosis. These tests require professional manpower and equipment, long processing and swab sampling which is unpleasant to the patients. Several volatile organic compounds (VOCs) have been identified in the breath of COVID-19 patients. Detection of these VOCs using a breath test could help rapidly identify COVID-19 patients.

OBJECTIVE

Assess the accuracy of 'Breath of Health' (BOH) COVID-19 Fourier-transform infra-red (FTIR) Spectroscopy-based breath test.

METHODS

Breath samples from patients with or without symptoms suggestive for COVID-19 who had NAAT results were collected using Tedlar bags and were blindly analysed using BOH FTIR spectroscopy. BOH Measures several VOCs simultaneously and differentiating positive and negative results. BOH results were compared to NAAT results as gold standard.

RESULTS

Breath samples from 531 patients were analysed. The sensitivity of BOH breath test was found to be 79.5% and specificity was 87.2%. Positive predictive value (PPV) was 74.7% and negative predictive value (NPV) 90.0%. Calculated accuracy rate was 84.8% and area under the curve 0.834. Subgroup analysis revealed that the NPV of patients without respiratory symptoms was superior over the NPV of symptomatic patients (94.7% vs 80.7%, P-value < 0.0001) and PPV of patients with respiratory symptoms outranks the PPV of individuals without symptoms (85.3% vs 69.2%, P-value 0.0196).

CONCLUSION

We found BOH COVID-19 breath test to be a patient-friendly, rapid, non-invasive diagnostic test with high accuracy rate and NPV that could efficiently rule out COVID-19 especially among individuals with low pre-test probability.

Development of a self-contained microfluidic chip and an internet-of-things-based point-of-care device for automated identification of respiratory viruses

The COVID-19 pandemic greatly impacted the in vitro diagnostic market, leading to the development of new technologies such as point-of-care testing (POCT), multiplex testing, and digital health platforms. In this study, we present a self-contained microfluidic chip integrated with an internet-of-things (IoT)-based point-of-care (POC) device for rapid and sensitive diagnosis of respiratory viruses. Our platform enables sample-to-answer diagnostics within 70 min by automating RNA extraction, reverse transcription-loop-mediated isothermal amplification (RT-LAMP), and fluorescence detection. The microfluidic chip is designed to store all the necessary reagents for the entire diagnostic assay, including a lysis buffer, a washing buffer, an elution buffer, and a lyophilized RT-LAMP cocktail. It can perform nucleic acid extraction, aliquoting, and gene amplification in multiple reaction chambers without cross-contamination. The IoT-based POC device consists of a Raspberry Pi 4 for device control and data processing, a CMOS sensor for measuring fluorescence signals, a resistive heater panel for temperature control, and solenoid valves for controlling the movement of on-chip reagent solutions. The proposed device is portable and features a touchscreen for user control and result display. We evaluated the performance of the platform using 11 clinical respiratory virus samples, including 5 SARS-CoV-2 samples, 2 influenza A samples, and 4 influenza B samples. All tested clinical samples were accurately identified with high specificity and fidelity, demonstrating the ability to simultaneously detect multiple respiratory viruses. The combination of the integrated microfluidic chip with the POC device offers a simple, cost-effective, and scalable solution for rapid molecular diagnosis of respiratory viruses in resource-limited settings.