The accurate and timely detection of biochemical coagulation indicators is pivotal in pulmonary and critical care medicine. Despite their reliability, traditional laboratories often lag in terms of rapid diagnosis. Point-of-care testing (POCT) has emerged as a promising alternative, which is awaiting rigorous validation. We assessed 226 samples from patients at the First Affiliated Hospital of Guangzhou Medical University using a Beckman Coulter AU5821 and a PUSHKANG POCT Biochemistry Analyzer MS100. Furthermore, 350 samples were evaluated with a Stago coagulation analyzer STAR MAX and a PUSHKANG POCT Coagulation Analyzer MC100. Metrics included thirteen biochemical indexes, such as albumin, and five coagulation indices, such as prothrombin time. Comparisons were drawn against the PUSHKANG POCT analyzer. Bland-Altman plots (MS100: 0.8206‒0.9995; MC100: 0.8318‒0.9911) evinced significant consistency between methodologies. Spearman correlation pinpointed a potent linear association between conventional devices and the PUSHKANG POCT analyzer, further underscored by a robust correlation coefficient (MS100: 0.713‒0.949; MC100: 0.593‒0.950). The PUSHKANG POCT was validated as a dependable tool for serum and whole blood biochemical and coagulation diagnostics. This emphasizes its prospective clinical efficacy, offering clinicians a swift diagnostic tool and heralding a new era of enhanced patient care outcomes.
Humans ; Point-of-Care Testing ; Critical Care ; Blood Coagulation Tests/methods* ; Male ; Blood Coagulation ; Female ; Middle Aged ; Reproducibility of Results ; Prothrombin Time ; Aged ; Adult ; Point-of-Care Systems

Notum, a negative feedback regulator of the Wnt signaling, has emerged as a promising target for treating glucocorticoid-induced osteoporosis (GIOP). This study showcases an efficient strategy for discovering the anti-Notum constituents from herbal medicines (HMs) as novel anti-GIOP agents. Firstly, a rapid-responding near-infrared fluorogenic substrate for Notum was rationally engineered for high-throughput identifying the anti-Notum HMs. The results showed that Bu-Gu-Zhi (BGZ), a known anti-osteoporosis herb, potently inhibited Notum in a competitive-inhibition manner. To uncover the key anti-Notum constituents in BGZ, an efficient strategy was adapted via integrating biochemical, phytochemical, computational, and pharmacological assays. Among all identified BGZ constituents, three furanocoumarins were validated as strong Notum inhibitors, while 5-methoxypsoralen (5-MP) showed the most potent anti-Notum activity and favorable safety profiles. Mechanistically, 5-MP acted as a competitive inhibitor of Notum via creating strong hydrophobic interactions with Trp128 and Phe268 in the catalytic cavity of Notum. Cellular assays showed that 5-MP remarkably promoted osteoblast differentiation and activated Wnt signaling in dexamethasone (DXMS)-challenged MC3T3-E1 osteoblasts. In dexamethasone-induced osteoporotic mice, 5-MP strongly elevated bone mineral density (BMD) and improved cancellous and cortical bone thickness. Collectively, this study constructs a high-efficient platform for discovering key anti-Notum constituents from HMs, while 5-MP emerges as a promising anti-GIOP agent.

Sepsis is a lethal condition resulting from the host's dysregulated response, involving complex pathophysiological mechanisms, including the host's biphasic immune response and metabolic disturbances. Diagnosing and treating sepsis remain formidable challenges, with the absence of definitive biomarkers and effective therapeutic interventions to date. Animal models of sepsis are pivotal in unraveling the disease's pathogenesis and identifying potential treatments, playing a crucial role in enhancing our comprehension of its intrinsic nature. However, there is no animal model that can comprehensively and accurately simulate the complex pathophysiological process of human sepsis. This review discusses the widely used sepsis animal models, exploring their advantages and limitations in terms of pathogenesis, inflammatory response, pathophysiological changes, and organ dysfunction. It summarizes the application scenarios and latest research advancements of these models and provides an outlook on potential future improvements.
Sepsis/physiopathology* ; Animals ; Disease Models, Animal ; Humans

Dust mites are one of the most important allergens, widely distributed around the world, especially in household environments. Dermatophagoides pteronyssinus, Dermatophagoides farinae and Blomia tropicalis are the most common species of dust mites. There are more than 35 known sensitization components of dust mites, among which Der p 1, Der p 2 and Der p 23 are the major components. Clinically, allergen skin test and serum specific immunoglobulin E (sIgE) detection are widely used in the preliminary diagnosis of dust mite allergy. However, these methods cannot accurately identify specific dust mite sensitization components. Considering that there are significant differences in the allergenic components of dust mites in different regions and populations, component-resolved diagnosis of dust mite is particularly important in accurately determining the allergenic components. This is not only of guiding significance for allergen avoidance, but also important for determining the immunotherapy regimen for dust mites. In order to strengthen the understanding of the molecular diagnosis of dust mites and promote the integration of allergy science in China with the international standards, this article interprets the "Allergy Molecular Allergology User′s Guide 2.0" published recently by the European Academy of Allergy and Clinical Immunology.

Shellfish, being one of the eight major food allergens, affects approximately 3% of the global population. The occurrence of shellfish allergy is not only related to the individual′s immune system sensitivity but is also influenced by geographical environment, food availability, and dietary habits. Although crustaceans (such as shrimp, crab, and lobster) and mollusks (such as oysters, mussels, and squid) are collectively referred to as shellfish, they exhibit significant differences in biological evolution and the spectrum of allergenic molecules they contain, leading to various allergic reactions. Accurate identification of allergenic proteins is crucial for the diagnosis and management of shellfish allergies, with key allergenic protein families including tropomyosin, arginine kinase, and hemocyanin. Furthermore, due to the diversity of shellfish allergens and their cross-reactivity with dust mite and insect allergens, diagnosing and managing shellfish allergies is complex, especially concerning tropomyosin and arginine kinase protein families. Currently, there are no specific immunotherapy treatments for shellfish allergies, and clinical management primarily relies on avoiding allergens and using anti-allergy medications. This article thoroughly interprets the " Molecular Allergology User′s Guide 2.0 (MAUG 2.0)" published by the European Academy of Allergy and Clinical Immunology (EAACI) and the latest research on shellfish allergies both domestically and internationally. It highlights the significant role of allergen component diagnostics in optimizing the diagnostic and treatment processes for shellfish allergies, effectively assisting clinicians in accurately identifying common allergens and cross-reactions, thereby providing patients with more personalized diagnosis and treatment plans.

Vegetable and fruit allergies are common types of food allergies worldwide, most of them are triggered by primary sensitization to pollen. Most allergens in vegetables and fruits belong to a few cross-reactive proteins such as PR-10 proteins, profilins, and nsLTPs. The presence of these allergens in various plants can lead to widespread cross-reactive allergic responses. Component-resolved diagnostics (CRD) can improve diagnostic accuracy by precisely identifying specific allergenic proteins, aiding physicians in making more accurate treatment and management decisions, and reducing unnecessary food avoidance. This article, based on the "Molecular Allergology User′s Guide 2.0 (MAUG 2.0)" issued by the European Academy of Allergy and Clinical Immunology (EAACI), analyzes the primary mechanisms, relevant allergens, and diagnostic and clinical management strategies for vegetable and fruit allergies. By detailing and analyzing these allergenic components, this article may help the healthcare professionals to deep the understandings of vegetable and fruit allergies, offer new perspectives and practical guideline for the research and treatment of these allergies, and promot the development of precise diagnostics and personalized treatment strategies.

Wheat and buckwheat allergies are common food allergies that significantly impact patients′ quality of life and health. Wheat allergy encompasses various forms, including wheat food allergy, exercise-induced allergic reactions (WDEIA), baker′s occupational asthma/allergy, and contact urticaria. IgE-mediated allergic reactions involve sensitization to stable wheat allergens such as ω-5 gliadin and gluten. Although buckwheat allergy is less common, it is gaining attention in certain regions. Allergen component diagnostic technologies, by detecting specific allergen components [e.g., ω-5 gliadin, gliadins (α, β, γ), and Tri a 14], offer precise allergen source identification, aiding in the optimization of diagnosis and management processes. Oral challenge tests are considered the gold standard for diagnosing wheat allergy, and combining skin prick tests with specific IgE measurements can enhance diagnostic accuracy. While avoidance of allergens remains the primary management strategy, research into immunotherapy is ongoing. Future research should focus on a deeper understanding of the structural and immunological characteristics of wheat and buckwheat allergens to develop more accurate diagnostic tools and treatment methods, thereby improving allergy management and patient quality of life. This article provides a detailed interpretation of the Molecular Allergology User′s Guide 2.0 (MAUG 2.0) published by the European Academy of Allergy and Clinical Immunology (EAACI) and recent research advances on wheat and buckwheat allergies, highlighting the crucial role of allergen component diagnostics in optimizing food allergy diagnosis and treatment processes, supporting clinicians in accurately identifying common allergens and their cross-reactivity, and formulating more personalized treatment plans for patients.

Following the principles of evidence-based medicine,in accordance with the structure and drafting rules of standardized documents,based on literature research,according to the characteristics of chronic cough in children and issues that need to form a consensus,the TCM Guidelines for Diagnosis and Treatment of Chronic Cough in Children was formulated based on the Delphi method,expert discussion meetings,and public solicitation of opinions.The guideline includes scope of application,terms and definitions,eti-ology and diagnosis,auxiliary examination,treatment,prevention and care.The aim is to clarify the optimal treatment plan of Chinese medicine in the diagnosis and treatment of this disease,and to provide guidance for improving the clinical diagnosis and treatment of chronic cough in children with Chinese medicine.

BACKGROUND:Patients with diabetes mellitus(DM)are vulnerable to community-acquired pneumonia(CAP),which have a high mortality rate.We aimed to investigate the value of heparin-binding protein(HBP)as a prognostic marker of mortality in patients with DM and CAP. METHODS:This retrospective study included CAP patients who were tested for HBP at intensive care unit(ICU)admission from January 2019 to April 2020.Patients were allocated to the DM or non-DM group and paired with propensity score matching.Baseline characteristics and clinical outcomes up to 90 days were evaluated.The primary outcome was the 10-day mortality.Receiver operating characteristic(ROC)curves,Kaplan-Meier analysis,and Cox regression were used for statistical analysis. RESULTS:Among 152 enrolled patients,60 pairs were successfully matched.There was no significant difference in 10-day mortality,while more patients in the DM group died within 28 d(P=0.024)and 90 d(P=0.008).In the DM group,HBP levels at ICU admission were higher in 10-day non-survivors than in 10-day survivors(median 182.21[IQR:55.43-300]ng/ml vs.median 66.40[IQR:34.13-107.85]ng/mL,P=0.019),and HBP levels could predict the 10-day mortality with an area under the ROC curve of 0.747.The cut-offvalue,sensitivity,and specificity were 160.6 ng/mL,66.7%,and 90.2%,respectively.Multivariate Cox regression analysis indicated that HBP was an independent prognostic factor for 10-day(HR 7.196,95%CI:1.596-32.455,P=0.01),28-day(HR 4.381,95%CI:1.449-13.245,P=0.009),and 90-day mortality(HR 4.581,95%CI:1.637-12.819,P=0.004)in patients with DM. CONCLUSION:Plasma HBP at ICU admission was associated with the 10-day,28-day,and 90-day mortality,and might be a prognostic factor in patients with DM and CAP.

BACKGROUND:Patients with diabetes mellitus(DM)are vulnerable to community-acquired pneumonia(CAP),which have a high mortality rate.We aimed to investigate the value of heparin-binding protein(HBP)as a prognostic marker of mortality in patients with DM and CAP. METHODS:This retrospective study included CAP patients who were tested for HBP at intensive care unit(ICU)admission from January 2019 to April 2020.Patients were allocated to the DM or non-DM group and paired with propensity score matching.Baseline characteristics and clinical outcomes up to 90 days were evaluated.The primary outcome was the 10-day mortality.Receiver operating characteristic(ROC)curves,Kaplan-Meier analysis,and Cox regression were used for statistical analysis. RESULTS:Among 152 enrolled patients,60 pairs were successfully matched.There was no significant difference in 10-day mortality,while more patients in the DM group died within 28 d(P=0.024)and 90 d(P=0.008).In the DM group,HBP levels at ICU admission were higher in 10-day non-survivors than in 10-day survivors(median 182.21[IQR:55.43-300]ng/ml vs.median 66.40[IQR:34.13-107.85]ng/mL,P=0.019),and HBP levels could predict the 10-day mortality with an area under the ROC curve of 0.747.The cut-offvalue,sensitivity,and specificity were 160.6 ng/mL,66.7%,and 90.2%,respectively.Multivariate Cox regression analysis indicated that HBP was an independent prognostic factor for 10-day(HR 7.196,95%CI:1.596-32.455,P=0.01),28-day(HR 4.381,95%CI:1.449-13.245,P=0.009),and 90-day mortality(HR 4.581,95%CI:1.637-12.819,P=0.004)in patients with DM. CONCLUSION:Plasma HBP at ICU admission was associated with the 10-day,28-day,and 90-day mortality,and might be a prognostic factor in patients with DM and CAP.