Burlingame, Nov. 29, 2023 (GLOBE NEWSWIRE) — According to Coherent Market Insights, The global blood glucose test strips market was valued at US$ 10.7 Billion in 2023 and is forecast to reach a value of US$ 17.7 Billin by 2030 at a CAGR of 7.4% between 2023 and 2030. Blood Glucose test strips are used to test for the presence of glucose in the blood. Glucose is a sugar found in the blood and used by the body for energy. Test strips are usually made of paper or plastic and have a special coating that reacts with glucose. The strip changes color when it comes into contact with glucose. This change can be read on a meter calibrated to show blood glucose levels.Test strips are an important part of diabetes treatment. They allow people with diabetes to check their blood sugar levels at home and make sure they are staying within their target range. Test strips can also be used to check for ketones, which are a sign your body isn’t getting enough insulin. Hence, there is increasing demand for blood glucose test strips across the globe Request Sample Copy of this Report @ https://www.coherentmarketinsights.com/insight/request-sample/6124 Market Statistics: The global blood glucose test strips market is estimated to account for US$ 10.7 Bn in terms of value by the end of 2023. Market Drivers: Increasing prevalence of diabetes is expected to propel the growth of the global blood glucose test strips market during the forecast period. For instance, according to fact sheet published by International Diabetes Federation in November 2022, stated that in 2021, 537 million adults (1 in 10) were living with diabetes. That number is expected to increase to 643 million by 2030 and 783 million by 2045. Morevoer, it also stated that lmost one in two adults (44%) with diabetes remains undiagnosed (240 million). The majority suffer from type 2 diabetes.More than three-quarters of diabetics live in low- and middle-income countries. Market Opportunities: Healthcare has advanced significantly in developing countries, with the increase in government funding, patient awareness, and increasing disposable income, people have increased access to healthcare facilities, which may fuel the blood glucose monitoring market in the forecast period. Historically speaking, blood glucose monitoring in the developing world has followed the patterns of the industrialized world with a lapse in time, which varies from place to place. The rising trend in the prevalence of diabetes, in both developed and developing countries, may help the diabetes care market to grow, in turn, driving the self-blood glucose monitoring and continuous glucose monitoring market. Rapidly transforming healthcare in developing countries and the need for better diagnostics technology give wide opportunities to the players in the blood glucose monitoring market. Buy this Complete Business Research Report @ https://www.coherentmarketinsights.com/insight/buy-now/6124 Market Trends: Increasing demand for demand for point-of-care testing across the globe is one of the key trends expected to augment the growth of the global blood glucose test strips market. Point-of-care testing enables rapid on-site blood level analysis without the need for glucose processing in a lab, providing actual, timely results. The benefits of this approach, which include convenience, faster response times, and immediate adjustments to diabetes management strategies, are multiple. The popularity of point-of-care tests stems from their ability to provide quick and accurate results. Market Restraints: The more significant technology trends in the emergence, like patch pump and glucose sensing lens, are expected to take place in the near future. Scientists have designed a smart contact lens to measure the wearer’s blood sugar, without using a needle, which is expected to change the scenario of the blood glucose monitoring market gradually, this is expected to hamper growth of the global blood glucose test strips market in near future. For instance, GlucoTrack is a non-invasive intermittent glucose monitoring device for home-use. The sensor is placed on the ear lobe and display the reading on the device. These devices eliminates the need of test strip and it may capture the market share of glucometer market Competitive Landscape: Major players operating in the global Blood Glucose Test Strips market include Abbott, F. Hoffmann-La Roche Ltd, Johnson & Johnson, ARKRAY, Inc., Ascensia Diabetes Care Holdings AG, AgaMatrix, Bionime Corporation, ACON Laboratories, Inc., MEDISANA GMBH, Tividia Health, Inc., Rossmax International Ltd, among others. Ask for Customization @ https://www.coherentmarketinsights.com/insight/request-customization/6124 Detailed Segmentation: Global Blood Glucose Test Strip Market, By Material Type: Thin Film Electrochemical Films Thick Film Electrochemical Films Optical strips Global Blood Glucose Test Strip Market, By Technology: Glucose Oxidase Glucose Dehydrogenase Global Blood Glucose Test Strip Market, By Application: Type I Diabetes Type II Diabetes Global Blood Glucose Test Strip Market, By End User: Hospitals Home Care Settings Diagnostic Laboratories Others (Research and Academic Institutions, etc.) Global Blood Glucose Test Strip Market, By Geography: North America U.S. Canada Latin America Brazil Mexico Rest of Latin America Europe Germany U.K. Spain France Italy Russia Rest of Europe Asia Pacific China India Japan Australia South Korea Rest of Asia Pacific Middle East & Africa South Africa GCC Countries Rest of Middle East & Africa Find more related trending reports below: Diabetes Monitoring Devices Market, by Product Type (Self-Glucose Monitoring Devices, and Continuous Glucose Monitoring Devices), by Indication (Type-I Diabetes, Type-II Diabetes, and Gestational Diabetes), by Approach (Invasive and Non-invasive), by End User (Hospitals, Clinics, Ambulatory Surgical Centers, Home Care Centers, and Self-Care), and by Region – Global Trends, and Forecast to 2025 Continuous Glucose Monitoring Devices Market, By Component (Sensors, Transmitters, and Receivers), By End User (Hospitals, Home care, and Others), By Region (North America, Latin America, Europe, Middle East & Africa, and Asia Pacific) Non-Invasive Blood Glucose Monitoring Devices Market, By Technology (Optical, Transdermal, Enzymatic, and Others), By Modality (Wearable, and Non-wearable), By End User (Hospitals, Home Care Settings, and Clinics), and By Region (North America, Latin America, Europe, Asia Pacific, Middle East, and Africa) – Size, Share, Outlook and Opportunity Analysis 2018-2026 Glucose Sensor Market, by Product Type (Non-invasive (Optical Sensors and Transdermal Sensors), Invasive (Intravenous Implantable, Micro Dialysis, and Subcutaneous Sensor), and
Month: November 2023
A 39-year-old male was hospitalized for one month at an outside hospital with acute respiratory failure which required high flow oxygen supplementation. He was diagnosed with HIV with a CD4 cell count of 36 cells/µL. His risk factors included sex with men and women. Patient was not vaccinated for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). He was also diagnosed with CMV DNAemia of 200,000 copies/mL in plasma and presumed Pneumocystis jirovecii (PJP) pneumonia given consistent imaging findings and a positive beta-D-glucan result. Sputum Pneumocystis Calcofluor white smear was negative, and the patient deferred bronchoscopy. He was treated for CMV DNAemia with intravenous ganciclovir for 3–4 weeks before transitioning to oral valganciclovir. He was also treated for PJP pneumonia with steroids and trimethoprim-sulfamethoxazole until developing hyperkalemia and transitioned to pentamidine to complete treatment. He was started on antiretroviral therapy (ART) with bictegravir/emtricitabine/tenofovir alafenamide. He was discharged on ART, valganciclovir, and prophylactic dapsone for PJP pneumonia prevention. Fig. 1 Coronal CT image shows bilateral peri-broncho-vascular nodules and ground glass opacities Full size image Four months after discharge from the outside hospital, the patient presented to the emergency department in the summer of 2022 with a dry cough for 3 weeks accompanied by intermittent fever, chills, night sweats, dysphagia, and diarrhea. He also had unintentional weight loss of 15 pounds over the last month. He had not been taking his medications for the last month and had been lost to follow up. Patient was raised in Mexico, but had no other recent travel, animal exposures, or current partners. On physical examination, his temperature was 37.8 C°, heart rate of 128 beats per minute, and a respiration rate of 26 breaths per minute with pulse oxygenation of 94%. The patient was diaphoretic but in no acute distress. Other findings were notable for oropharyngeal white patches, bilateral coarse breath sounds, and multiple flesh colored umbilicated papules on the left thorax. The exam was negative for hepatosplenomegaly or lymphadenopathy. On admission, chest x-ray revealed an ill-defined focal hazy opacity of the right lateral middle lung with a computerized tomography (CT) scan subsequently showing extensive areas of bilateral tree-in-bud infiltrate with scattered ground glass and consolidative opacities (Figs. 1, 2 and 3). Labs confirmed advanced HIV with CD4 of 6 cells/µL and a HIV viral load of > 800,000 copies/mL. He was found to be positive for SARS-CoV-2 by polymerase chain reaction (PCR). Plasma CMV PCR was elevated at 3.9 million copies/mL. Fig. 2 Axial CT image demonstrates nodules in peripheral aspects of right upper and left upper lobes Full size image Coronavirus disease 2019 (COVID-19) treatment was deferred as the patient presented with subacute symptoms for several weeks prior to arrival without initial hypoxemia. The patient was started on empiric typical and atypical bacterial pneumonia treatment with vancomycin, cefepime, and doxycycline. He also started PJP treatment with trimethoprim-sulfamethoxazole. Additionally, the patient was started on fluconazole for presumed Candida esophagitis. However, during his admission, the patient developed worsening oxygen requirements and persistent fevers. CT angiogram did not show evidence of pulmonary embolism. C-reactive protein was elevated at 1.7 mg/dL and ferritin was 4,003 ng/mL. Bronchoalveolar lavage (BAL) was performed including viral culture which was positive for CMV. SARS-CoV-2 specific testing was not performed on the BAL fluid, and it is not routinely recovered from the cell lines used for viral culture at the reference laboratory. AFB culture was also performed on the BAL which later grew Mycobacterium avium complex (MAC). Transbronchial biopsies taken demonstrated pneumonitis with numerous enlarged, virally infected cells with both cytoplasmic and large nuclear inclusions. These findings were diagnostic of CMV pneumonitis (Fig. 4). Immunostaining confirmed numerous, scattered positive cells for CMV (Fig. 4B and D) whereas stains for acid fast bacilli and fungi were negative. The patient was initiated on intravenous ganciclovir for CMV pneumonitis. Dilated ophthalmologic exam did not reveal retinitis. The patient’s fevers, dyspnea, and cough resolved over the next seven days, and he was transitioned to oral valganciclovir. Of note, the MAC isolated on BAL was not treated due to patient’s improvement on other therapy. Fig. 3 Axial CT image demonstrates nodules and consolidative opacities in right middle lobe and posterior left lung base Full size image Fig. 4 Histopathologic and immunohistochemical evaluation of transbronchial biopsy. A) Fragment of lung tissue with scattered enlarged cells (small arrowheads) with cytologic features diagnostic for CMV infection in a background of pneumonitis (100x magnification, H&E). B) Immunohistochemical confirmation using antibodies to CMV that are binding to enlarged cells (strong nuclear staining) scattered throughout the biopsy (100x magnification, CMV IHC). C) Multiple enlarged cells (arrowheads), some with characteristic nuclear inclusions in a background of reactive and inflamed lung parenchyma (400x magnification, H&E). D) CMV immunohistochemical staining with strong positivity in the nuclei and scattered positivity in the cytoplasm of the same cells (400x magnification, CMV IHC) Full size image The patient was prescribed a 21-day course of valganciclovir. At outpatient follow up, he reported doing well and was finishing his CMV therapy. On that visit, he was reinitiated on ART with abacavir/dolutegravir/lamivudine. He presented again 2 months after initial presentation with dyspnea and fevers, requiring readmission to the hospital. A repeat CT revealed resolution of the majority of nodular opacities and residual ground glass opacities (Fig. 5), but his CMV PCR showed a plasma level of 5 million copies/mL. Patient’s SARS-CoV-2 by PCR testing was persistently positive, which seemed to indicate inability to clear the virus versus a continued active infection. He was briefly treated with intravenous foscarnet given initial concern for ganciclovir resistance; however, the mutational analysis for ganciclovir, cidofovir, and foscarnet resistance was negative with codons 457–630 of UL97 gene and codons 393–1000 of UL54 gene sequencing. Repeat CD4 was < 10 cells/µL and HIV viral load was 6 million copies/mL concerning for non-adherence to ART. The patient was switched back to intravenous ganciclovir and then to oral valganciclovir with symptomatic improvement. Fig. 5 Coronal CT image obtained 3 months later with resolution of majority of the nodular opacities with
Abstract Objectives To assess the feasibility of drawing, processing, safety-testing, and banking term umbilical cord blood to meet the packed red blood cell transfusion (RBC Tx) needs of extremely-low-gestational-age neonates (ELGANs). Design (1) Retrospectively analyze all ELGANs RBC Tx over the past three years, (2) Estimate local cord blood availability, (3) Assess interest in this project, and implementation barriers, through stakeholder surveys. Results In three years we cared for 266 ELGANs; 165 (62%) received ≥1 RBC Tx. Annual RBC Tx averaged 197 (95% CI, 152–243). If 10% of our 10,353 annual term births had cord blood drawn and processed, and half of those tested were acceptable for Tx, collections would exceed the 95th % upper estimate for need by >four-fold. Interest exceeded 97%. Identified barriers included FDA approval, training to collect cord blood, and cost. Conclusion RBC Tx needs of ELGANS could be met by local cord blood collection. 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References Joseph RM, O’Shea TM, Allred EN, Heeren T, Hirtz D, et al. Neurocognitive and academic outcomes at age 10 years of extremely preterm newborns. Pediatrics. 2016;137:e20154343. Article PubMed PubMed Central Google Scholar Bell EF, Hintz SR, Hansen NI, Bann CM, Wycoff MH, DeMauro SB, et al. Mortality, in-hospital morbidity, care practices, and 2-year outcomes for extremely Preterm infants in the US, 2013-2018. JAMA. 2022;327:248–63. Article PubMed Google Scholar Younge N, Goldstein RF, Bann CM, Hintz SR, Patel RM, Smith PB, et al. Survival and neurodevelopmental outcomes among periviable infants. N. Engl J Med. 2017;376:617–28. Article PubMed PubMed Central Google Scholar Del Vecchio A, Henry E, D’Amato G, Cannuscio A, Corriero L, Motta M, et al. Instituting a program to reduce the erythrocyte transfusion rate was accompanied by reductions in the incidence of bronchopulmonary dysplasia, retinopathy of prematurity and necrotizing enterocolitis. 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Current understanding of transfusion-associated necrotizing enterocolitis: review of clinical and experimental studies and a call for more definitive evidence. Newborn (Clarksville). 2022;1:201–8. Article PubMed PubMed Central Google Scholar Odom TL, Eubanks J, Redpath N, Davenport E, Tumin D, Akpan US. Development of necrotizing enterocolitis after blood transfusion in very premature neonates. World J Pediatr. 2023;19:68–75. Article PubMed Google Scholar Fontana C, Raffaeli G, Pesenti N, Boggini T, Cortesi V, Manzoni F, et al. Red blood cell transfusions in preterm newborns and neurodevelopmentaloutcomes at 2 and 5 years of age. Blood Transfus. 2022;20:40–49. PubMed PubMed Central Google Scholar Vu PT, Ohls RK, Mayock DE, German KR, Comstock BA, Heagerty PJ, et al. Transfusions and neurodevelopmental outcomes in extremely low gestation neonates enrolled in the PENUT Trial: a randomized clinical trial. Pediatr Res. 2021;90:109–16. 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Abstract Current risk scores using clinical risk factors for predicting ischemic heart disease (IHD) events—the leading cause of global mortality—have known limitations and may be improved by imaging biomarkers. While body composition (BC) imaging biomarkers derived from abdominopelvic computed tomography (CT) correlate with IHD risk, they are impractical to measure manually. Here, in a retrospective cohort of 8139 contrast-enhanced abdominopelvic CT examinations undergoing up to 5 years of follow-up, we developed multimodal opportunistic risk assessment models for IHD by automatically extracting BC features from abdominal CT images and integrating these with features from each patient’s electronic medical record (EMR). Our predictive methods match and, in some cases, outperform clinical risk scores currently used in IHD risk assessment. We provide clinical interpretability of our model using a new method of determining tissue-level contributions from CT along with weightings of EMR features contributing to IHD risk. We conclude that such a multimodal approach, which automatically integrates BC biomarkers and EMR data, can enhance IHD risk assessment and aid primary prevention efforts for IHD. To further promote research, we release the Opportunistic L3 Ischemic heart disease (OL3I) dataset, the first public multimodal dataset for opportunistic CT prediction of IHD. Introduction Ischemic heart disease (IHD) is the leading cause of global mortality and among the top causes of morbidity. In 2019, it was responsible for over 9 million deaths worldwide and the loss of more than 180 million disability-adjusted life years (http://ghdx.healthdata.org/gbd-results-tool). Preventive treatments including lifestyle modifications and pharmacologic interventions (e.g., cholesterol-lowering medications) can be guided by risk assessment. The Framingham coronary heart disease risk score (FRS) and the Pooled Cohort Equations (PCE) are commonly utilized risk estimation methods for IHD and atherosclerotic cardiovascular disease, respectively1,2. The FRS uses demographic risk factors and cholesterol values to predict 10-year IHD risk in individuals aged 30–74 years old without known IHD at baseline examination. The PCE were developed to model the 10-year risk of major atherosclerotic cardiovascular disease events, including fatal and nonfatal IHD as well as fatal and nonfatal stroke. These risk scores have been used as a standard for IHD risk assessment in current clinical practice guidelines and policy recommendations, including the most recent American College of Cardiology/American Heart Association guideline on primary prevention of cardiovascular disease3. Validation of both risk scores has shown varying performance depending on the subpopulation analyzed. Performance is typically reported as a c-statistic value, which corresponds to the proportion of case–control pairs in which a higher risk is assigned to the case (a measure of discrimination). Previously reported c-statistic values for the FRS and PCE are modest with typical ranges of 0.66–0.76 and 0.68–0.76, respectively4, leaving potential room for improvement. Thus, the discovery of additional biomarkers that improve or independently inform the predictive power of these existing models has been the objective of multiple recent research endeavors5,6. Imaging biomarkers derived from computed tomography (CT) have shown promise in the assessment of cardiovascular risk. For example, the coronary artery calcium (CAC) score measures the extent of plaque in the coronary arteries from coronary CTs, and is an important tool for IHD risk stratification7,8. Although CAC scoring is a strong independent predictor of cardiovascular events9, the integration of both clinical factors (e.g., FRS) and imaging factors (e.g., CAC score) has been shown to significantly improve prediction of major cardiac events and all-cause mortality (compared with clinical or imaging metrics alone)10,11. Other studies have combined metrics from coronary CT angiography with blood biomarkers such as high-sensitivity cardiac troponin to successfully improve upon current measures of cardiovascular risk12,13. These specialized methods apply to a subset of patients already being assessed for cardiovascular risk. Alternatively, abdominopelvic CTs contain body composition (BC) imaging biomarkers for atherosclerotic cardiovascular disease, such as hepatic steatosis14, low muscle mass15, an increased ratio of visceral to subcutaneous adipose tissue (VAT/SAT)16, and abdominal aortic calcification17. Notably, 20 million abdominopelvic CTs are acquired annually almost twice as often as CT scans that image the heart or coronary vessels, such as non-contrasted chest CT and coronary CT18,19. According to the National Hospital Ambulatory Care Survey (https://bit.ly/2SL6957), in 2016 over 10 million abdominopelvic CTs were acquired in the US during emergency department visits alone, often in relation to abdominal pain—the most common principal reason for visiting an emergency department20. By comparison, roughly 3 million chest CTs were performed during emergency department visits in 2016. Within abdominopelvic CTs, these biomarkers could be measured during such routine imaging procedures without resulting in additional costs or radiation exposure, referred to as opportunistic imaging21. However, the current clinical workflow and volume of imaging is not well-suited to allow practical utilization of the additional resources required to manually extract measurements of imaging biomarkers22. Consequently, despite the potential value, cardiovascular risk is not routinely assessed upon abdominopelvic CT acquisition, thereby missing opportunities for early disease detection and prevention. In this work, we developed IHD risk assessment models that use automatically measured imaging features from abdominopelvic CT examinations in combination with the patient’s EMR. We evaluate the benefit of extracting BC imaging biomarkers from an axial slice at the level of the third lumbar vertebra (L3) in addition to traditional PCE metrics. We also develop an IHD risk assessment tool using the raw L3 slice image in an end-to-end manner using deep learning. We further develop a method to quantitatively assess the contribution of imaging features to the model prediction, aggregated at the tissue level. We introduce this method, Tissue Saliency, in this work. Finally, we combine features derived from the EMR in addition to the L3 slice, yielding the greatest risk prediction performance, and interpret the individual contribution of clinical features. To spur further research, we publicly release the Opportunistic L3 for IHD prediction (OL3I) dataset. Overall, we depict how opportunistic utilization of already-acquired CT imaging and EMR data can facilitate primary prevention of IHD without requiring additional testing, radiation, cost, or radiological assessment. Methods Study population Following Stanford University Institutional Review Board approval and in accordance with relevant guidelines and regulations, we identified an initial cohort of 36,354
Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020;323(13):1239–42. Article CAS PubMed Google Scholar Kesheh MM, Hosseini P, Soltani S, Zandi M. An overview on the seven pathogenic human coronaviruses. Rev Med Virol. 2022;32(2): e2282. Article CAS PubMed Google Scholar Zandi M. ORF9c and ORF10 as accessory proteins of SARS-CoV-2 in immune evasion. Nat Rev Immunol. 2022;22(5):331–331. Article CAS PubMed PubMed Central Google Scholar Hernandez-Teran A, Mejia-Nepomuceno F, Herrera MT, Barreto O, Garcia E, Castillejos M, Boukadida C, Matias-Florentino M, Rincon-Rubio A, Avila-Rios S, et al. Dysbiosis and structural disruption of the respiratory microbiota in COVID-19 patients with severe and fatal outcomes. Sci Rep. 2021;11(1):21297. Article CAS PubMed PubMed Central Google Scholar Mizutani T, Ishizaka A, Koga M, Ikeuchi K, Saito M, Adachi E, Yamayoshi S, Iwatsuki-Horimoto K, Yasuhara A, Kiyono H et al. Correlation Analysis between Gut Microbiota Alterations and the Cytokine Response in Patients with Coronavirus Disease during Hospitalization. Microbiol Spectr. 2022;10(2):e0168921. Buttenschon J, Vogt S, Mattner J. Compartmentalized immune responses and the local microbiota determine mucosal and systemic immunity against SARS-CoV-2. Cell Mol Immunol. 2022;19(2):130–2. Article PubMed PubMed Central Google Scholar Xu R, Liu P, Zhang T, Wu Q, Zeng M, Ma Y, Jin X, Xu J, Zhang Z, Zhang C. Progressive deterioration of the upper respiratory tract and the gut microbiomes in children during the early infection stages of COVID-19. J Genet Genomics. 2021;48(9):803–14. Article CAS PubMed PubMed Central Google Scholar Mazzarelli A, Giancola ML, Farina A, Marchioni L, Rueca M, Gruber CEM, Bartolini B, Ascoli Bartoli T, Maffongelli G, Capobianchi MR, et al. 16S rRNA gene sequencing of rectal swab in patients affected by COVID-19. PLoS ONE. 2021;16(2): e0247041. Article CAS PubMed PubMed Central Google Scholar Gu S, Chen Y, Wu Z, Chen Y, Gao H, Lv L, Guo F, Zhang X, Luo R, Huang C, et al. Alterations of the Gut Microbiota in Patients With Coronavirus Disease 2019 or H1N1 Influenza. Clin Infect Dis. 2020;71(10):2669–78. Article CAS PubMed Google Scholar Tao W, Zhang G, Wang X, Guo M, Zeng W, Xu Z, Cao D, Pan A, Wang Y, Zhang K, et al. Analysis of the intestinal microbiota in COVID-19 patients and its correlation with the inflammatory factor IL-18. Med Microecol. 2020;5: 100023. Article PubMed PubMed Central Google Scholar Lv LX, Gu SL, Jiang HY, Yan R, Chen YF, Chen YB, Luo R, Huang CJ, Lu HF, Zheng BW et al. 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Age-Related Changes in the Nasopharyngeal Microbiome Are Associated With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection and Symptoms Among Children, Adolescents, and Young Adults. Clin Infect Dis. 2022;75(1):e928–37. Rueca M, Fontana A, Bartolini B, Piselli P, Mazzarelli A, Copetti M, Binda E, Perri F, Gruber CEM, Nicastri E et al. Investigation of Nasal/Oropharyngeal Microbial Community of COVID-19 Patients by 16S rDNA Sequencing. Int J Environ Res Public Health. 2021;18(4):2174. Ventero MP, Cuadrat RRC, Vidal I, Andrade BGN, Molina-Pardines C, Haro-Moreno JM, Coutinho FH, Merino E, Regitano LCA, Silveira CB, et al. Nasopharyngeal Microbial Communities of Patients Infected With SARS-CoV-2 That Developed COVID-19. Front Microbiol. 2021;12: 637430. Article PubMed PubMed Central Google Scholar Nagata N, Takeuchi T, Masuoka H, Aoki R, Ishikane M, Iwamoto N, Sugiyama M, Suda W, Nakanishi Y, Terada-Hirashima J, et al. 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Abstract To investigate the clinical and molecular characteristics and evolution of the Zika virus (ZIKV) in Thailand from March 2020 to March 2023. In all, 751 serum samples from hospitalized patients in Bangkok and the surrounding areas were screened for ZIKV using real-time RT-PCR. Demographic data and clinical variables were evaluated. Phylogenetic and molecular clock analysis determined the genetic relationships among the ZIKV strains, emergence timing, and their molecular characteristics. Among the 90 confirmed ZIKV cases, there were no significant differences in infection prevalence when comparing age groups and sexes. Rash was strongly associated with ZIKV infection. Our ZIKV Thai isolates were categorized into two distinct clades: one was related to strains from Myanmar, Vietnam, Oceania, and various countries in the Americas, and the other was closely related to previously circulating strains in Thailand, one of which shared a close relation to a neurovirulent ZIKV strain from Cambodia. Moreover, ZIKV Thai strains could be further classified into multiple sub-clades, each exhibiting specific mutations suggesting the genetic diversity among the circulating strains of ZIKV in Thailand. Understanding ZIKV epidemiology and genetic diversity is crucial for tracking the virus’s evolution and adapting prevention and control strategies. Introduction Zika virus (ZIKV) is a single-stranded RNA flavivirus primarily transmitted by the Aedes mosquitoes. It was first discovered in Uganda in 1947 and identified in Asia in 19661,2. Prior to 2007, only sporadic ZIKV infection cases with self-limiting or mild symptoms were documented in Africa and Asia3. In 2007, the first ZIKV outbreak occurred in Yap Islands, Micronesia, affecting 73% residents4. Subsequent outbreaks occurred in French Polynesia in 2013–2014, during which the association between ZIKV infection and Guillain–Barré syndrome was noted5,6. ZIKV was first identified in Brazil in 20157 and rapidly spread throughout the Americas8. Brazil experienced a dramatic rise in ZIKV-linked neonatal microcephaly cases, resulting in the declaration of a public health emergency of international concern by the WHO in early 2016 to establish a causal connection between ZIKV and congenital disabilities9. Since then, many countries have increased their focus on monitoring ZIKV infections. Before 2016, multiple lines of evidence indicated that ZIKV circulated at low levels, and sporadic cases were reported in Southeast Asian countries including Thailand for decades10. From 2016 to 2017, the number of ZIKV infection cases in Thailand dramatically increased by over 1500 cases; however, it remains unclear whether this rise was because of higher infection rates or increased awareness11. According to the Bureau of Epidemiology, Ministry of Public Health, Thailand, the morbidity rate in 2016 was 1.69 per 100,000 population. From 2019 to 2022, the morbidity rates of ZIKV in Thailand were < 0.5 yearly; the rates were 0.41, 0.36, 0.10, and 0.29 per 100,000 population, respectively12. From 2016 to 2022, the Bureau reported 234 confirmed cases of ZIKV in pregnant women. Among them, 11 patients experienced miscarriages, of which four were related to ZIKV infection. Furthermore, clinical surveillance of 2217 neonates with microcephaly revealed 15 cases of congenital Zika syndrome. While the ZIKV epidemic and its genetic characterization in the Americas are well documented, its presence and molecular epidemiology in Southeast Asia, particularly in Thailand, are areas of concern and ongoing investigation. Few studies have explored the molecular epidemiology of the Thai ZIKV strains. Hence, more research is required on the current genetic characterization and diversity of ZIKV strains in Thailand since the COVID-19 pandemic. This research aimed to comprehensively evaluate the ZIKV prevalence, clinical presentation, and genetic characteristics in Thailand from 2020 to 2023. Investigating the genetic diversity of the current ZIKV circulating in Thailand can help assess the risk of outbreaks and guide public health strategies and preparedness efforts. Results Demographic characteristics and clinical features Out of the 751 samples (Table 1), 12.0% (90/751; 56.7% female and 43.3% male) tested positive for ZIKV infection based on Zika viral RNA presence. There was no significant sex-related difference in ZIKV prevalence (p = 0.507). The median age of patients with confirmed ZIKV was 37 (IQR: 29–46) years (range: 1–71 years). Most patients were in the 36–45 years age group (32.2%), followed by 26–35 years (22.2%) and 46–55 years (13.3%). Prevalence was lower among participants aged ≤ 15 years (10%) and 16–25 years (10%). Age was not significantly associated with increased ZIKV infection (p = 0.187). The median duration from illness onset to Zika RNA diagnosis was 3.5 days (IQR: 3–5 days). Table 1 Demographic characteristics and clinical presentation of individuals according to ZIKV infection, Thailand (2020–2023) (N = 751).Full size table The common clinical symptoms among ZIKV patients included rash (83.1%), fever (71.2%), arthralgia (54.2%), myalgia (39%), and conjunctivitis (22%). Skin rash was strongly associated with ZIKV infection (odds ratio [OR] 19.89, p < 0.001), as were arthralgia (OR 2.63, p < 0.001), and conjunctivitis (OR 11.73, p < 0.001). There was no evidence of ZIKV-associated neurological complications. Next, we examined the correlation between age groups and clinical characteristics and found that only arthralgia or joint pain (p = 0.022) showed a significant association with age groups (Table 2). In addition, the percentage of ZIKV-positive samples in each study year was analyzed and showed that there were 4.67% (12/257) tested positive for ZIKV infection in March 2020-December 2020, 7.54% (8/109) in 2021, 17.5% (47/269) in 2022. Interestingly, 19.8% (23/116) tested positive for ZIKV in the first three months of 2023. Table 2 Clinical characteristics in different age groups of ZIKV-infected participants (N = 59).Full size table Genome sequence and phylogenetic analysis of ZIKV detected in Thailand during 2020–2023 We constructed a maximum likelihood phylogenetic tree and examined the nucleotide identity using complete coding sequences of ZIKV Thai strains of 2020–2023 from this study (n = 17) and additional sequences representing various strains sourced from the GenBank database. Our ZIKV Thai isolates belonged to the Asian lineage and could be classified into two clades: Southeast Asian (SEA) and Asian-American (AA). Out of the 17 ZIKV Thai isolates from 2020 to 2023 (Figs. 1 and 2), 11 were in the SEA clade, which includes strains from Thailand in 2016–2017 (98.5–99.4% sequence identity), Singapore in 2016 (99.0–99.4% sequence identity), and Cambodia in 2019 (98.8–99.5% sequence identity). Most of our SEA ZIKV strains
Specialty
C1QA and COMP: plasma-based biomarkers for early diagnosis of pancreatic neuroendocrine tumors
Abstract Pancreatic Neuroendocrine tumors (PanNET) are challenging to diagnose and often detected at advanced stages due to a lack of specific and sensitive biomarkers. This study utilized proteomics as a valuable approach for cancer biomarker discovery; therefore, mass spectrometry-based proteomic profiling was conducted on plasma samples from 12 subjects (3 controls; 5 Grade I, 4 Grade II PanNET patients) to identify potential proteins capable of effectively distinguishing PanNET from healthy controls. Data are available via ProteomeXchange with the identifier PXD045045. 13.2% of proteins were uniquely identified in PanNET, while 60% were commonly expressed in PanNET and controls. 17 proteins exhibiting significant differential expression between PanNET and controls were identified with downstream analysis. Further, 5 proteins (C1QA, COMP, HSP90B1, ITGA2B, and FN1) were selected by pathway analysis and were validated using Western blot analysis. Significant downregulation of C1QA (p = 0.001: within groups, 0.03: control vs. grade I, 0.0013: grade I vs. grade II) and COMP (p = 0.011: within groups, 0.019: control vs grade I) were observed in PanNET Grade I & II than in controls. Subsequently, ELISA on 38 samples revealed significant downregulation of C1QA and COMP with increasing disease severity. This study shows the potential of C1QA and COMP in the early detection of PanNET, highlighting their role in the search for early-stage (Grade-I and Grade-II) diagnostic markers and therapeutic targets for PanNET. Introduction Neuroendocrine tumors (NETs) encompass a collection of tumors that arise from neuroendocrine cells and can be detected across various organs, with notable prevalence in the lung, digestive tract, and pancreas1. NETs rarely occur in 2 cases per 100,000 individuals, representing approximately 0.5% of all tumors2,3. The clinical features of neuroendocrine tumors (NETs) in the Indian population exhibit significant variations compared to Western nations, particularly regarding the distribution of neuroendocrine tumors by anatomical site and tumor type. Recent studies conducted in India have revealed that the pancreas (approx. 35%) stands as the primary and prevailing site of origin for neuroendocrine tumors (NETs)3,4. The term “pancreatic neuroendocrine tumors” (PanNET) refers to a broad category of neoplasms that develop from neuroendocrine cells in the pancreas. These tumors stand out from other pancreatic cancers due to their distinctive clinical, histomorphologic, and prognostic characteristics5,6,7. PanNET can differ significantly in their clinical characteristics. They might be benign, slowly expanding tumors with no symptoms, or they can be more aggressive varieties that result in hormonal imbalances and different clinical disorders8. Various biochemical tests, such as complete blood count (CBC), serum calcium, renal and liver function tests (RFT/LFT), chromogranin A, neuron-specific enolase, pancreatic polypeptide, pancreastatin, CA 19-9, serotonin derivatives (5-hydroxyindoleacetic acid), insulin, glucagon, gastrin-1, and vasoactive intestinal peptide, play a crucial role in screening, diagnosis and prognosis of PanNETs patients 9,10. The available laboratory tests lack sensitivity and specificity in diagnosing pancreatic neuroendocrine tumors. Additionally, the imaging techniques employed for diagnosis, such as endoscopic ultrasound, CT scans, X-rays, Octreotide scintigraphy, [68Ga] Ga-DOTATATE PET (Dota-Octreotate Positron Emission Tomography), and [18F]-FDG (Fluorodeoxyglucose)-PET scans, are invasive and expensive. Moreover, these advanced imaging techniques may not be accessible in all medical centers, making them particularly inaccessible for individuals in developing countries11,12,13,14. Therefore, there is an urgent need for more specific, sensitive, and cheap biomarkers for early screening and diagnosis of this disease. Proteomics carries significant potential for advancements in molecular medicine, as evidenced by studies exploring its novel perspectives in cancer research. A notable aspect of proteomics is its promise in discovering biomarkers and tumor markers, which can be helpful in the early detection and diagnosis of various diseases, with a particular focus on cancer15,16,17. Additionally, discovering specific protein markers can aid in creating personalized medicines that maximize therapeutic effectiveness while minimizing adverse effects for each patient16,18. So, proteomics continues to be the preferred method for conducting biochemical investigations on several cancers, yielding crucial insights such as protein profiles, protein levels, modification sites, and protein interactions 18,19. Among the applications of proteomic techniques, Mass spectrometry offers significant advancements in proteomic studies, particularly in enhancing signal specificity by effectively eliminating false-positive results during database searching. It enables the quantification and identification of proteins within complex protein mixtures, analysis of protein–protein interactions, investigation of post-translational modifications, Structural proteomics, and the identification of differential protein modifications20. Proteomics has been invaluable in discovering numerous cancer biomarkers such as breast, esophageal, Gastric, lung, colorectal, liver, etc21. Proteomics analysis has been reported in cases with neuroendocrine tumors, greatly aiding the understanding of neuroendocrine tumors (NETs) pathogenesis. The current investigation examined the proteomic profiles of plasma samples obtained from individuals with PanNET (stage I and stage II) and healthy individuals serving as controls. This is the first study focuses on the plasma sample of PanNET and healthy individuals. Our objective was to identify particular plasma proteins that could prove beneficial in detecting PanNET. Results Demographical and clinical characteristics of pancreatic neuroendocrine tumor (PanNET) patients and healthy control subjects The mean age of PanNET patients is 41.89 ± 2.75 years (age range 20–70 years). In this study, out of 28 PanNET patients, 15 were male, and 13 were female, whereas in 10 healthy controls, 6 subjects were male and 4 were female. WHO grading of PanNET patients was done according to the 2017 WHO classification. Out of 28 patients, approx. 50% are with grade-I tumors, and 50% are with grade-II tumors; however, > 50% are found to be diagnosed at the metastatic stage (Fig. 1). 50% of patients have Ki67 index > 3%. The detailed history of the patients has been mentioned in Table 1. Figure 1 A flowchart illustrating the process of selecting PanNET patients. Full size image Table 1 Demographic details of PanNET patients.Full size table Proteomic profiles of PanNET plasma Partial least squares-discriminant analysis (PLS-DA) modeling used proteomics data to distinguish the distinct separation between Patients (Grade I and Grade II PanNET) and controls. This analysis simultaneously identified proteins whose expression contributed to the discrimination among the three groups. Figure 2A and B show PLSDA and the associated VIP classification model. Significant separation of Grade II PanNET from Grade I and Control in Component 1 was observed via the PLSDA
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Global Anorectal Malformation Treatment Market is estimated to undergo a 7.4% CAGR by 2033, as per F
The global anorectal malformation treatment market is expected to surpass an impressive valuation of US$ 794.91 million in 2023 and is projected to exhibit a CAGR of 7.4% from 2023 to 2033, reaching US$ 1,475.19 million. The market is driven by a number of factors, including the rising prevalence of ARM, increasing awareness of the condition, and growing demand for advanced treatment options. Anorectal malformation (ARM) is a congenital birth defect that affects the rectum and/or anus. It is a spectrum of disorders with a wide range of anatomical presentations. ARM occurs in approximately 1 in 5,000 newborns and is more common in boys than in girls. To Get The Sample Copy Of Report Visit! https://www.futuremarketinsights.com/reports/sample/rep-gb-16432 Anorectal abnormalities are birth defects that affect a baby’s anus or rectum and cause irregular bowel movements. Once the anus is blocked, the condition is referred to as a portion of the current anus. In kids with anorectal malformations, the anus may not exist, be blocked by a thin or thick layer of tissue, or be narrower than typical. Increased incidence of gastrointestinal disorders, irritable bowel syndrome, and a family history of illnesses and diseases like cancer can all lead to anorectal malformations. A sizable market for efficient, dependable, and cutting-edge medical therapy for anorectal malformation will emerge during the coming decades. Anorectal Malformation Treatment Market by 2023 to 2033: Key Takeaways: The global anorectal malformation treatment market is expected to reach US$ 794.91 million in 2023 and exhibit a CAGR of 7.4% from 2023 to 2033, reaching US$ 1,475.19 million by 2033. The increasing prevalence of gastrointestinal disorders, irritable bowel syndrome, and a family medical history of certain ailments and diseases, such as cancer, is driving the demand for anorectal malformation treatment. The growing sophistication of healthcare facilities is also propelling the market growth. The North American region is expected to remain the largest market for anorectal malformation treatment, followed by the European region. The Asia Pacific region is expected to witness the fastest growth during the forecast period, owing to the increasing awareness of anorectal malformation and the rising disposable incomes in the region. Reach Out To Our Analyst And Get All Your Queries Answered! https://www.futuremarketinsights.com/ask-question/rep-gb-16432 Key Drivers of the Anorectal Malformation Treatment Market: Rising prevalence of ARM: The prevalence of ARM is on the rise globally, due to factors such as increasing consanguineous marriages, exposure to environmental toxins, and maternal infections. Increasing awareness of ARM: There is a growing awareness of ARM among parents and healthcare professionals, which is leading to earlier diagnosis and treatment of the condition. Growing demand for advanced treatment options: Parents of children with ARM are increasingly seeking advanced treatment options that can improve their child’s quality of life. Key Challenges in the Anorectal Malformation Treatment Market: High cost of treatment: ARM treatment can be expensive, especially for complex cases. Lack of skilled surgeons: There is a shortage of skilled surgeons who can perform ARM surgery. Risk of complications: ARM surgery is complex and carries a risk of complications, such as infection, bleeding, and nerve damage. Regional Analysis of the Anorectal Malformation Treatment Market: North America is expected to remain the dominant market for anorectal malformation treatment throughout the forecast period. This is due to the high prevalence of ARM in the region, the presence of advanced healthcare infrastructure, and the availability of skilled surgeons. However, the Asia Pacific market is expected to witness the fastest growth during the forecast period, owing to the rising prevalence of ARM in the region and the growing demand for advanced treatment options. Art of Personalization: Dive into the World of Customization with Our Report! https://www.futuremarketinsights.com/customization-available/rep-gb-16432 Key Companies Profiled: Sanofi S.A. Bausch Health Companies Inc. Cleveland Clinic Mayo Clinic Children’s Health for Orange County (CHOC) St. Louis Children’s Hospital Nationwide Children’s Hospital Children’s Hospital of Pittsburgh Intermountain Healthcare Key Segments Profiled in the Anorectal Malformation Treatment Industry Survey: By Treatment Type: Colostomy Anorectal Repair Colostomy Closure By End User: Hospitals Specialty Clinics By Region: North America Europe Asia Pacific Latin America Middle East & Africa (MEA) Act Now to Explore In-Depth Market Analysis: Get Exclusive Purchase Now to Access! https://www.futuremarketinsights.com/checkout/16432 About Future Market Insights (FMI) Future Market Insights, Inc. (ESOMAR certified, recipient of the Stevie Award, and a member of the Greater New York Chamber of Commerce) offers profound insights into the driving factors that are boosting demand in the market. FMI stands as the leading global provider of market intelligence, advisory services, consulting, and events for the Packaging, Food and Beverage, Consumer Technology, Healthcare, Industrial, and Chemicals markets. With a vast team of over 5000 analysts worldwide, FMI provides global, regional, and local expertise on diverse domains and industry trends across more than 110 countries. Contact Us: Nandini Singh Sawlani Future Market Insights Inc.Christiana Corporate, 200 Continental Drive,Suite 401, Newark, Delaware – 19713, USAT: +1-845-579-5705For Sales Enquiries: [email protected]: https://www.futuremarketinsights.comLinkedIn| Twitter| Blogs | YouTube