Proteomic and serological markers for diagnosing cardia gastric cancer and precursor lesions in a Chinese population.

Cardia gastric cancer (CGC) is prevalent in East Asia, and noninvasive, cost-effective screening methods are needed. This study investigated the diagnostic value of serum pepsinogen (PG), gastrin-17 (G-17), Helicobacter pylori (H. pylori) antibodies, and proteomic profiling for CGC and precancerous lesions. We conducted a case-control study involving biopsy-confirmed patients with CGC (n = 60), low-grade intraepithelial neoplasia (CLGD, n = 60), high-grade intraepithelial neoplasia (CHGD, n = 64), and healthy controls (n = 120) matched for age and sex from high-incidence areas in China. Serological markers including PGI, PGII, G-17, and H. pylori were measured using ELISA and Western blot, while plasma protein markers were assessed using Olink® technology. The VSOLassoBag algorithm and nine machine learning (ML) algorithms were employed to identify crucial features and construct predictive models. Various evaluation metrics, including the area under the receiver-operating-characteristic curve (AUC), were utilized to compare predictive performance. Elevated PGII levels, decreased PGR, and H. pylori infection were significantly associated with an increased risk of CGC and precancerous lesions (P for trend < 0.05). The eXtreme Gradient Boosting (XGBoost) model performed best in discriminative ability among the 9 ML models. Following feature reduction based on predictive performance, a final explainable XGBoost model was developed, incorporating five protein biomarkers (CDHR2, ICAM4, PTPRM, CDC27, and FLT1). This model exhibited excellent performance in distinguishing individuals with CGC and precancerous lesions from healthy controls (AUC = 0.931 for CGC, 0.867 for CHGD, and 0.763 for CLGD), surpassing the traditional serological marker-based model. This study underscores the diagnostic potential of serological markers and proteomic profiling in the detection of CGC. Further validation and exploration of combined biomarker approaches are warranted to enhance early diagnosis and improve outcomes in high-risk populations.

A comparative study of ProGRP and CEA as serological markers in small cell lung cancer treatment.

BACKGROUND: Small Cell Lung Cancer (SCLC) presents a significant clinical challenge due to its aggressive nature and the need for effective biomarkers for treatment monitoring. This study aimed to compare ProGRP and CEA as serological markers in the monitoring of SCLC treatment. METHODS: We retrospectively analyzed data from 80 SCLC patients and 80 matched controls. ProGRP and CEA levels were measured, and their associations with clinical parameters, including tumor stage and treatment response, were assessed using Spearman's rank correlation coefficient. Multivariate logistic regression models were employed to identify independent predictors of treatment response and disease progression. RESULTS: ProGRP and CEA levels were considerably higher in cases than controls, with median ProGRP levels at 198.5 pg/mL versus 48.7 pg/mL and median CEA levels at 5.2 ng/mL versus 2.9 ng/mL (both p < 0.001). ProGRP levels correlated positively with tumor stage (ρ = 0.58, p < 0.001) and negatively with treatment response (ρ = - 0.45, p = 0.001). CEA levels also showed positive correlation with tumor stage (ρ = 0.48, p = 0.002) and negative correlation with treatment response (ρ = - 0.35, p = 0.005). Multivariate analysis revealed that ProGRP was an independent predictor for treatment response (OR 1.25 per 100 pg/mL increase, p = 0.001) and disease progression (OR 1.25 per 50 pg/mL increase, p = 0.012), while CEA was a marginal predictor for treatment response (OR 0.95 per 1 ng/mL increase, p = 0.045). CONCLUSION: Both ProGRP and CEA are significant serological markers in SCLC patients, with ProGRP showing a stronger correlation with tumor stage and treatment response. ProGRP may serve as a superior independent predictor of treatment response and disease progression compared to CEA. These findings support the incorporation of ProGRP in SCLC treatment monitoring protocols.

Exploring the potential of routine serological markers in predicting neurological outcomes in spinal cord injury.

Spinal cord injury (SCI) is a rare condition with a heterogeneous presentation, making the prediction of recovery challenging. However, serological markers have been shown to be associated with severity and long-term recovery following SCI. Therefore, our investigation aimed to assess the feasibility of translating this association into a prediction of the lower extremity motor scores (LEMS) at chronic stage (52 weeks after initial injury) in patients with SCI using routine serological markers. Serological markers, assessed within the initial seven days post-injury in the observational cohort study from the Trauma Hospital Murnau underwent diverse feature engineering approaches. These involved arithmetic measurements such as mean, median, minimum, maximum, and range, as well as considerations of the frequency of marker testing and whether values fell within the normal range. To predict LEMS scores at the chronic stage, eight different regression models (including linear, tree-based, and ensemble models) were used to quantify the predictive value of serological markers relative to a baseline model that relied on the very acute LEMS score and patient age alone. The inclusion of serological markers did not improve the performance of the prediction model. The best-performing approach including serological markers achieved a mean absolute error (MAE) of 6.59 (2.14), which was equivalent to the performance of the baseline model. As an alternative approach, we trained separate models based on the LEMS observed at the very acute stage after injury. Specifically, we considered individuals with an LEMS of 0 or an LEMS exceeding zero separately. This strategy led to a mean improvement in MAE across all cohorts and models, of 1.20 (2.13). We conclude that, in our study, routine serological markers hold limited power for prediction of LEMS. However, the implementation of model stratification by the very acute LEMS markedly enhanced prediction performance. This observation supports the inclusion of clinical knowledge in the modeling of prediction tasks for SCI recovery. Additionally, it lays the path for future research to consider stratified analyses when investigating the predictive power of potential biomarkers.

The prevalence of hepatitis B virus infection among HIV-infected patients in the Ningxia Hui Autonomous Region, China, November 2002 to July 2023.

We tested HIV-infected people with HBV serological markers of Ningxia. Of 1008 HIV-positive individuals, 70 (6.9 %) tested positive for HBsAg, 570 (56.5 %) tested positive for anti-HBs, and 483 (47.9 %) tested positive for anti-HBc. Of 70 HBV-positive individuals, 13 (18.5 %) tested positive for HBeAg, 31 (44.3 %) tested positive for anti-HBe, 3 (4.2 %) exhibited acute infection.

Clinical Correlations between Serological Markers and Endometrial Cancer.

Background: Endometrial cancer is associated with changes in blood cell counts and with high levels of inflammatory markers, thus reflecting the tumor's impact on various biological processes and suggesting their potential as biomarkers for endometrial cancer diagnosis, prognosis, and treatment response. The neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and monocyte-to-lymphocyte ratio in peripheral blood sampled preoperatively from patients have been reported to be independently associated with the prognosis of different types of malignancies. Objectives: This study aimed to compare several blood markers-red blood cells, white blood cells, platelet parameters, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, C-reactive protein, and fibrinogen-in patients with benign or malignant endometrial tumors. Material and methods: Our retrospective study included 670 patients (192 diagnosed with endometrial cancer and 478 with endometrial hyperplasia), and we compared the serological parameters discussed above with those sampled the day before surgery. Results: Analysis of complete blood count indices revealed no significant differences in red blood cell or total white blood cell parameters between the endometrial cancer group and the endometrial hyperplasia group. However, a distinct pattern emerged in the white blood cell differential. The endometrial cancer group showed a statistically significant decrease in lymphocyte count compared with the endometrial hyperplasia group. In contrast, the endometrial cancer group showed significantly higher mean platelet counts and increased mean platelet volume compared with controls. Furthermore, the endometrial cancer group demonstrated a marked inflammatory response, as evidenced by significantly elevated levels of C-reactive protein, fibrinogen, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and monocyte-to-lymphocyte ratio compared with the endometrial hyperplasia group. Conclusions: The current research revealed statistically significant differences in multiple serological biomarkers between the two groups. These findings support the initial hypothesis regarding the potential utility of these biomarkers in endometrial cancer diagnosis, prognosis, and treatment response, highlighting the existence of biomarkers affordable for analysis under any health system, regardless of the country's level of development.

Lipidomic studies revealing serological markers associated with the occurrence of retinopathy in type 2 diabetes.

PURPOSE: The duration of type 2 diabetes mellitus (T2DM) and blood glucose levels have a significant impact on the development of T2DM complications. However, currently known risk factors are not good predictors of the onset or progression of diabetic retinopathy (DR). Therefore, we aimed to investigate the differences in the serum lipid composition in patients with T2DM, without and with DR, and search for potential serological indicators associated with the development of DR. METHODS: A total of 622 patients with T2DM hospitalized in the Department of Endocrinology of the First Affiliated Hospital of Xi'an JiaoTong University were selected as the discovery set. One-to-one case-control matching was performed according to the traditional risk factors for DR (i.e., age, duration of diabetes, HbA1c level, and hypertension). All cases with comorbid chronic kidney disease were excluded to eliminate confounding factors. A total of 42 pairs were successfully matched. T2DM patients with DR (DR group) were the case group, and T2DM patients without DR (NDR group) served as control subjects. Ultra-performance liquid chromatography-mass spectrometry (LC-MS/MS) was used for untargeted lipidomics analysis on serum, and a partial least squares discriminant analysis (PLS-DA) model was established to screen differential lipid molecules based on variable importance in the projection (VIP) > 1. An additional 531 T2DM patients were selected as the validation set. Next, 1:1 propensity score matching (PSM) was performed for the traditional risk factors for DR, and a combined 95 pairings in the NDR and DR groups were successfully matched. The screened differential lipid molecules were validated by multiple reaction monitoring (MRM) quantification based on mass spectrometry. RESULTS: The discovery set showed no differences in traditional risk factors associated with the development of DR (i.e., age, disease duration, HbA1c, blood pressure, and glomerular filtration rate). In the DR group compared with the NDR group, the levels of three ceramides (Cer) and seven sphingomyelins (SM) were significantly lower, and one phosphatidylcholine (PC), two lysophosphatidylcholines (LPC), and two SMs were significantly higher. Furthermore, evaluation of these 15 differential lipid molecules in the validation sample set showed that three Cer and SM(d18:1/24:1) molecules were substantially lower in the DR group. After excluding other confounding factors (e.g., sex, BMI, lipid-lowering drug therapy, and lipid levels), multifactorial logistic regression analysis revealed that a lower abundance of two ceramides, i.e., Cer(d18:0/22:0) and Cer(d18:0/24:0), was an independent risk factor for the occurrence of DR in T2DM patients. CONCLUSION: Disturbances in lipid metabolism are closely associated with the occurrence of DR in patients with T2DM, especially in ceramides. Our study revealed for the first time that Cer(d18:0/22:0) and Cer(d18:0/24:0) might be potential serological markers for the diagnosis of DR occurrence in T2DM patients, providing new ideas for the early diagnosis of DR.

Preoperative Albumin-to-Alkaline Phosphatase Ratio as an Independent Predictor of Lymph Node Involvement in Penile Cancer.

Background and Objectives: To investigate the role of preoperative albumin-to-alkaline phosphatase ratio (AAPR) in predicting pathologic node-positive (pN+) disease in penile cancer (PC) patients undergoing inguinal lymph node dissection (ILND). Materials and Methods: Clinical data of patients with squamous cell carcinoma (SCC) PC + ILND at a single high-volume institution between 2016 and 2021 were collected and retrospectively analyzed. An AAPR was obtained from preoperative blood analyses performed within 30 days from their scheduled surgery. A ROC curve analysis was used to assess AAPR cutoff, in addition to the Youden Index. Logistic regression analysis was utilized for an odds ratio (OR), 95% confidence interval (CI) calculations, and an estimate of pN+ disease. A p value < 0.05 was considered to be as statistically significant. Results: Overall, 42 PC patients were included in the study, with a mean age of 63.6 ± 12.9 years. The AAPR cut-off point value was determined to be 0.53. The ROC curve analysis reported an AUC of 0.698. On multivariable logistic regression analysis lymphovascular invasion (OR = 5.38; 95% CI: 1.47-9.93, p = 0.022), clinical node-positive disease (OR = 13.68; 95% CI: 4.37-43.90, p < 0.009), and albumin-to-alkaline phosphatase ratio ≤ 0.53 (OR = 3.61; 95% CI: 1.23-12.71, p = 0.032) were predictors of pN+ involvement. Conclusions: Preoperative AAPR may be a potentially valuable prognostic marker of pN+ disease in patients who underwent surgery for PC.

The Role of Serological Markers in the Prediction of Disease Course and Response to Therapy in Inflammatory Bowel Disease.

Inflammatory bowel disease (IBD) is a common gastrointestinal tract disease and can be divided into two major groups: ulcerative colitis (UC) and Crohn's disease (CD). These two entities can be diagnosed from a combination of invasive and non-invasive tests as well as a thorough history and physical examination. However, invasive tests are preferred for a definitive diagnosis since the two entities have characteristic features of colonoscopy and biopsy. In this review, the following will be discussed: how non-invasive tests could help detect the presence of IBD, how markers help monitor disease progression, and how the disease responds to treatment. Some of the common markers that are discussed in detail include perinuclear antineutrophil cytoplasmatic antibodies (p-ANCA), anti-Saccharomyces cerevisiae antibodies (ASCA), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), calprotectin, lactoferrin, lipocalin-2 (LCN2), and several other novel markers that are based on bacterial antigens. The best non-invasive tests available for detecting the presence of IBD are serological and fecal markers. Detecting these markers has helped doctors significantly by bringing to their attention the possibility of the presence of IBD. The serological testing can also help distinguish the two forms of IBD since a different combination of markers is elevated in UC and CD. In addition, the symptoms of IBD are non-specific and usually overlap with other gastrointestinal tract disorders, so by finding these serological markers, doctors can proceed with further invasive testing that would give them a definitive diagnosis. That way, invasive testing, such as colonoscopy with biopsy, can be avoided in patients with no suspicion of IBD. The common markers used in the clinical setting to point out the presence of IBD are discussed in detail in this review. Recently, more specific markers derived from bacterial antigens are also used, and their role is discussed, too.

SEROEPIDEMIOLOGY OF HBV ANTIGEN AND ANTI-HCV AMONG GENERAL POPULATION IN A RURAL LOCAL IN BAUCHI STATE, NIGERIA.

Background: HBV and HCV infections are a significant public health issue in developing countries with weak healthcare systems, high poverty rates, illiteracy, low HBV immunization coverage, and low public health education. A study assessed the sero epidemiology of HBV antigen, anti- HCV markers, biochemical and heamatological indices of 559 participants in Dambam local government during hepatitis day. A structured questionnaire was administered to assess demographic information and risk factors. Rapid latex immunochromtographic kits were used for HBV, HCV, and HBV Combo serological markers, with positive and negative control included in each batch analysis. Descriptive statistics analysis was conducted on the data. Results: The 559 study participants, had a mean age of 35.5+10.9years, majority within the age- group, 18-39years 279(49.04%), female accounted for 291(52.1%) compared to male 268(47.9), educational background, tertiary 244(43.6%), married, 356(68.7%) and student were 254(45.4%). Seroprevalence of HBsAg was 10.7%, serological markers as follows, HbsAb 1.7%, HbeAg 13.3%, HbeAb 60.0% HbcAb 95.0% and Anti-HCV of 3.4%. Gender breakdown(M vs F) of HBV(13.4% vs 8.2%) and HCV(3.0% vs 3.8%). Significant association was observed in the seroprevalence of HBV and HCV with age-group, gender, marital status and occupation(<0.05). No significant difference was observed with the risk factors of HBV and HCV. Biochemical and heamatological indices showed a significant difference between seropositive and negative study participants(<0.05). Conclusion: The study's findings affirmed the endemicity of HBV infection and the increasing trend of HCV infection in Bauchi state, posing serious public health concerns. HBV serological markers suggest a low HBV immunization coverage rate and exposure of participants to the viral etiology in the community. Strengthening immunization coverage and population-based surveillance is strategic in the prevention and control of viral hepatitis in Bauchi state.

A hematological parameter-based model for distinguishing non-puerperal mastitis from invasive ductal carcinoma.

Purpose: Non-puerperal mastitis (NPM) accounts for approximately 4-5% of all benign breast lesions. Ultrasound is the preferred method for screening breast diseases; however, similarities in imaging results can make it challenging to distinguish NPM from invasive ductal carcinoma (IDC). Our objective was to identify convenient and objective hematological markers to distinguish NPM from IDC. Methods: We recruited 89 patients with NPM, 88 with IDC, and 86 with fibroadenoma (FA), and compared their laboratory data at the time of admission. LASSO regression, univariate logistic regression, and multivariate logistic regression were used to screen the parameters for construction of diagnostic models. Receiver operating characteristic curves, calibration curves, and decision curves were constructed to evaluate the accuracy of this model. Results: We found significant differences in routine laboratory data between patients with NPM and IDC, and these indicators were candidate biomarkers for distinguishing between the two diseases. Additionally, we evaluated the ability of some classic hematological markers reported in previous studies to differentiate between NPM and IDC, and the results showed that these indicators are not ideal biomarkers. Furthermore, through rigorous LASSO and logistic regression, we selected age, white blood cell count, and thrombin time to construct a differential diagnostic model that exhibited a high level of discrimination, with an area under the curve of 0.912 in the training set and with 0.851 in the validation set. Furthermore, using the same selection method, we constructed a differential diagnostic model for NPM and FA, which also demonstrated good performance with an area under the curve of 0.862 in the training set and with 0.854 in the validation set. Both of these two models achieved AUCs higher than the AUCs of models built using machine learning methods such as random forest, decision tree, and SVM in both the training and validation sets. Conclusion: Certain laboratory parameters on admission differed significantly between the NPM and IDC groups, and the constructed model was designated as a differential diagnostic marker. Our analysis showed that it has acceptable efficiency in distinguishing NPM from IDC and may be employed as an auxiliary diagnostic tool.

Advances in Noninvasive Biomarkers for Nonalcoholic Fatty Liver Disease.

Nonalcoholic fatty liver disease (NAFLD) currently represents one of the most common liver diseases worldwide. Early diagnosis and disease staging is crucial, since it is mainly asymptomatic, but can progress to nonalcoholic steatohepatitis (NASH) or cirrhosis or even lead to the development of hepatocellular carcinoma. Over time, efforts have been put into developing noninvasive diagnostic and staging methods in order to replace the use of a liver biopsy. The noninvasive methods used include imaging techniques that measure liver stiffness and biological markers, with a focus on serum biomarkers. Due to the impressive complexity of the NAFLD's pathophysiology, biomarkers are able to assay different processes involved, such as apoptosis, fibrogenesis, and inflammation, or even address the genetic background and "omics" technologies. This article reviews not only the currently validated noninvasive methods to investigate NAFLD but also the promising results regarding recently discovered biomarkers, including biomarker panels and the combination of the currently validated evaluation methods and serum markers.

Unraveling the Complexity of Atypical Serological Profiles in Chronic Hepatitis B: Insights Into Disease Dynamics and Clinical Implications.

Introduction Chronic hepatitis B (CHB) continues to be a significant global public health problem. Conventional serological markers play a pivotal role in diagnosing and prognosticating CHB, but atypical serological profiles deviating from established norms pose challenges. Methods A cohort of 35 CHB patients who did not receive an antiviral treatment with atypical serological markers was followed for five years (2017-2022). Demographics, serological parameters, and changes were documented. Serological parameters and serum viral loads (hepatitis B virus (HBV)-deoxyribonucleic acid (DNA) levels) were assayed at the central laboratory during their routine follow-ups. Three groups of atypical serological markers are defined: hepatitis B surface antigen (HBsAg) and hepatitis B surface antibody (anti-HBs) positivity; hepatitis B e antigen (HBeAg) and anti-hepatitis B e-antigen (anti-HBe) positivity; and isolated core (anti-hepatitis B core (anti-HBc) immunoglobulin G (IgG)) positivity. Patients with concomitant HBsAg and anti-HBs were also stratified into seroreversion groups. Changes in serological markers and HBV-DNA levels across the study period were documented and evaluated at the end of the study period. Statistical analysis was conducted using the Kruskal-Wallis test and IBM SPSS Statistics software for Windows, Version 23.0 (IBM Corp., Armonk, NY, USA). Results In a cohort of 35 patients with atypical hepatitis B serology, demographic analysis revealed that 51.4% (n=18) were female and 48.6% (n=17) were male, with a mean age of 45.7 years. Educational distribution showed that 45.7% (n=16) completed primary education, 22.8% (n=8) had a high school education, and 31.5% (n=11) held university degrees. Among these patients, 10 displayed the concurrent presence of HBsAg and anti-HBs, with 60% (n=6) being female. Serum HBV-DNA was detectable in all cases. After five years, 60% (n=6) exhibited seroconversion from HBsAg to anti-HBs, particularly notable in females (66.7%). These patients showed lower HBsAg titers and serum HBV-DNA levels (p = 0.048, p = 0.036). A subset of 15 patients demonstrated simultaneous HBeAg and anti-HBe positivity. The HBeAg seropositivity waned over time, with 40% (n=6) and 26.7% (n=4) females and males, respectively, retaining positivity by the fifth year. During this period, serum HBV-DNA levels decreased. The remaining five patients sustained HBeAg and anti-HBe positivity. Among 10 patients solely positive for anti-HBc IgG, three had concurrent HBV-DNA positivity. Strikingly, three patients with negative HBV-DNA developed anti-HBs positivity after five years. Conclusion The complexity of CHB infection demands a comprehensive understanding. Atypical serological profiles suggest distinct disease stages, immune response variations, and viral mutations. This study enhances comprehension of viral replication, immune responses, and disease progression, potentially guiding tailored therapeutic strategies.

Serological Biomarker-Based Machine Learning Models for Predicting the Relapse of Ulcerative Colitis.

Purpose: To explore whether machine learning models using serological markers can predict the relapse of Ulcerative colitis (UC). Patients and Methods: This clinical cohort study included 292 UC patients, and serological markers were obtained when patients were discharged from the hospital. Subsequently, four machine learning models including the random forest (RF) model, the logistic regression model, the decision tree, and the neural network were compared to predict the relapse of UC. A nomogram was constructed, and the performance of these models was evaluated by accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). Results: Based on the patients' characteristics and serological markers, we selected the relevant variables associated with relapse and developed a LR model. The novel model including gender, white blood cell count, percentage of leukomonocyte, percentage of monocyte, absolute value of neutrophilic granulocyte, and erythrocyte sedimentation rate was established for predicting the relapse. In addition, the average AUC of the four machine learning models was 0.828, of which the RF model was the best. The AUC of the test group was 0.889, the accuracy was 76.4%, the sensitivity was 78.5%, and the specificity was 76.4%. There were 45 variables in the RF models, and the relative weight coefficients of these variables were determined. Age has the greatest impact on classification results, followed by hemoglobin concentration, white blood cell count, and platelet distribution width. Conclusion: Machine learning models based on serological markers had high accuracy in predicting the relapse of UC. The model can be used to noninvasively predict patient outcomes and can be an effective tool for determining personalized treatment plans.

INFLUENCE OF SEROLOGICAL MARKERS OF BLOOD GROUPS UPON THE DEVELOPMENT OF VISUAL MEMORY IN HIGH SCHOOLERS AND STUDENTS.

OBJECTIVE: The aim: To investigate the influence of serological markers of blood groups of the AB0 system upon the development of short-term visual memory in high schoolers and students. PATIENTS AND METHODS: Materials and methods: The research involved 13-16-year-old high schoolers (boys) (n = 139) who were involved in various sports: group A - speed and strength sports (n = 74); group B - endurance sports (n = 65). The control group consisted of 13-16-year-old high schoolers (n = 106) and 17-20-year-old students (n = 212) who were not engaged in sports. The study of short-term visual memory was conducted using the "Memory for geometric shapes" method. RESULTS: Results: It was found that high schoolers and students with the 0(I) blood group have the best associative coupling with the properties of short-term visual memory. CONCLUSION: Conclusions: The use of serological markers of blood groups according to the AB0 system is possible in the genetic prediction of the development of visual memory in high schoolers and students. Herewith, the associative coupling is more pronounced in juvenility than in adolescence.

Interval between two-stage exchanges: what is optimal and how do you know?

BACKGROUND: Two-stage exchange arthroplasty remains the most popular option for the treatment of chronic periprosthetic joint infection (PJI). Determining infection eradication and optimal timing of reimplantation can be challenging. Information to allow for a truly informed evidence-based decision is scarce. METHODS: We conducted a critical review of available evidence on the presently available tests to help determine timing of reimplantation. RESULTS: Serology is traditionally used to follow up patients after the first stage. Despite tradition mandates waiting for normal inflammatory markers, there is actually no evidence that they correlate with persistent infection. The role of synovial fluid investigation between stages is also explored. Cultures lack sensitivity and neither differential leukocyte counts nor alternative biomarkers have proven to be accurate in identifying persistent infection with a spacer in situ. We also examined the evidence regarding the optimal time interval between resection and reimplantation and whether there is evidence to support the implementation of a two week "antibiotic holiday" prior to proceeding with reimplantation. Finally, wound healing and other important factors in this setting will be discussed. CONCLUSION: Currently there are no accurate metrics to aid in the decision on the optimal timing for reimplantation. Decision must therefore rely on the resolution of clinical signs and down trending serological and synovial markers.

Contrast enhanced ultrasound combined with serology predicts hepatocellular carcinoma recurrence: a retrospective observation cohort study.

Objectives: To construct a novel model based on contrast-enhanced ultrasound (CEUS) and serological biomarkers to predict the early recurrence (ER) of primary hepatocellular carcinoma within 2 years after hepatectomy. Methods: A total of 466 patients who underwent CEUS and curative resection between 2016.1.1 and 2019.1.1 were retrospectively recruited from one institution. The training and testing cohorts comprised 326 and 140 patients, respectively. Data on general characteristics, CEUS Liver Imaging Reporting and Data System (LI-RADS) parameters, and serological were collected. Univariate analysis and multivariate Cox proportional hazards regression model were used to evaluate the independent prognostic factors for tumor recurrence, and the Contrast-enhanced Ultrasound Serological (CEUSS) model was constructed. Different models were compared using prediction error and time-dependent area under the receiver operating characteristic curve (AUC). The CEUSS model's performances in ER prediction were assessed. Results: The baseline data of the training and testing cohorts were equal. LI-RADS category, α-fetoprotein level, tumor maximum diameter, total bilirubin level, starting time, iso-time, and enhancement pattern were independent hazards, and their hazards ratios were 1.417, 1.309, 1.133, 1.036, 0.883, 0.985, and 0.70, respectively. The AUCs of CEUSS, BCLC,TNM, and CNLC were 0.706, 0.641, 0.647, and 0.636, respectively, in the training cohort and 0.680, 0.583, 0.607, and 0.597, respectively, in the testing cohort. The prediction errors of CEUSS, BCLC, TNM, and CNLC were 0.202, 0.205, 0.205, and 0.200, respectively, in the training cohort and 0.204, 0.221, 0.219, and 0.211, respectively, in the testing cohort. Conclusions: The CEUSS model can accurately and individually predict ER before surgery and may represent a new tool for individualized treatment.

Using Serological Markers for the Surveillance of Plasmodium vivax Malaria: A Scoping Review.

The utilisation of serological surveillance methods for malaria has the potential to identify individuals exposed to Plasmodium vivax, including asymptomatic carriers. However, the application of serosurveillance varies globally, including variations in methodology and transmission context. No systematic review exists describing the advantages and disadvantages of utilising serosurveillance in various settings. Collation and comparison of these results is a necessary first step to standardise and validate the use of serology for the surveillance of P. vivax in specific transmission contexts. A scoping review was performed of P. vivax serosurveillance applications globally. Ninety-four studies were found that met predefined inclusion and exclusion criteria. These studies were examined to determine the advantages and disadvantages of serosurveillance experienced in each study. If studies reported seroprevalence results, this information was also captured. Measurement of antibodies serves as a proxy by which individuals exposed to P. vivax may be indirectly identified, including those with asymptomatic infections, which may be missed by other technologies. Other thematic advantages identified included the ease and simplicity of serological assays compared to both microscopy and molecular diagnostics. Seroprevalence rates varied widely from 0-93%. Methodologies must be validated across various transmission contexts to ensure the applicability and comparability of results. Other thematic disadvantages identified included challenges with species cross-reactivity and determining changes in transmission patterns in both the short- and long-term. Serosurveillance requires further refinement to be fully realised as an actionable tool. Some work has begun in this area, but more is required.

Comparative Performance of Serological (IgM/IgG) and Molecular Testing (RT-PCR) of COVID-19 in Three Private Universities in Cameroon during the Pandemic.

BACKGROUND: COVID-19 remains a rapidly evolving and deadly pandemic worldwide. This necessitates the continuous assessment of existing diagnostic tools for a robust, up-to-date, and cost-effective pandemic response strategy. We sought to determine the infection rate (PCR-positivity) and degree of spread (IgM/IgG) of SARS-CoV-2 in three university settings in Cameroon Method: Study volunteers were recruited from November 2020 to July 2021 among COVID-19 non-vaccinated students in three Universities from two regions of Cameroon (West and Centre). Molecular testing was performed by RT-qPCR on nasopharyngeal swabs, and IgM/IgG antibodies in plasma were detected using the Abbott Panbio IgM/IgG rapid diagnostic test (RDT) at the Virology Laboratory of CREMER/IMPM/MINRESI. The molecular and serological profiles were compared, and p < 0.05 was considered statistically significant. RESULTS: Amongst the 291 participants enrolled (mean age 22.59 ± 10.43 years), 19.59% (57/291) were symptomatic and 80.41% (234/291) were asymptomatic. The overall COVID-19 PCR-positivity rate was 21.31% (62/291), distributed as follows: 25.25% from UdM-Bangangte, 27.27% from ISSBA-Yaounde, and 5% from IUEs/INSAM-Yaounde. Women were more affected than men (28.76% [44/153] vs. 13.04% [18/138], p < 0.0007), and had higher seropositivity rates to IgM+/IgG+ (15.69% [24/153] vs. 7.25% [10/138], p < 0.01). Participants from Bangangté, the nomadic, and the "non-contact cases" primarily presented an active infection compared to those from Yaoundé (p= 0.05, p = 0.05, and p = 0.01, respectively). Overall IgG seropositivity (IgM-/IgG+ and IgM+/IgG+) was 24.4% (71/291). A proportion of 26.92% (7/26) presenting COVID-19 IgM+/IgG- had negative PCR vs. 73.08% (19/26) with positive PCR, p < 0.0001. Furthermore, 17.65% (6/34) with COVID-19 IgM+/IgG+ had a negative PCR as compared to 82.35% with a positive PCR (28/34), p < 0.0001. Lastly, 7.22% (14/194) with IgM-/IgG- had a positive PCR. CONCLUSION: This study calls for a rapid preparedness and response strategy in higher institutes in the case of any future pathogen with pandemic or epidemic potential. The observed disparity between IgG/IgM and the viral profile supports prioritizing assays targeting the virus (nucleic acid or antigen) for diagnosis and antibody screening for sero-surveys.

[Advances in serological non-invasive diagnosis for metabolic dysfunction-associated fatty liver disease].

Metabolic dysfunction-associated fatty liver disease is a chronic liver condition associated with metabolic abnormalities characterized by hepatic steatosis that can progress to metabolic-related steatohepatitis, liver fibrosis, cirrhosis, and even hepatocellular carcinoma. Currently, a liver biopsy is still the gold standard for diagnosis but due to its invasiveness and risk of complications, the development of serological diagnostic indicators to achieve non-invasive diagnosis has been a hot research topic in recent years. Herein, well-researched serological non-invasive diagnostic indicators present now for fatty livers are reviewed.

Towards the Search for Potential Biomarkers in Osteosarcoma: State-of-the-Art and Translational Expectations.

Osteosarcoma represents a rare cause of cancer in the general population, accounting for <1% of malignant neoplasms globally. Nonetheless, it represents the main cause of malignant bone neoplasm in children, adolescents and young adults under 20 years of age. It also presents another peak of incidence in people over 50 years of age and is associated with rheumatic diseases. Numerous environmental risk factors, such as bone diseases, genetics and a history of previous neoplasms, have been widely described in the literature, which allows monitoring a certain group of patients. Diagnosis requires numerous imaging tests that make it possible to stratify both the local involvement of the disease and its distant spread, which ominously determines the prognosis. Thanks to various clinical trials, the usefulness of different chemotherapy regimens, radiotherapy and surgical techniques with radical intent has now been demonstrated; these represent improvements in both prognosis and therapeutic approaches. Osteosarcoma patients should be evaluated in reference centres by multidisciplinary committees with extensive experience in proper management. Although numerous genetic and rheumatological diseases and risk factors have been described, the use of serological, genetic or other biomarkers has been limited in clinical practice compared to other neoplasms. This limits both the initial follow-up of these patients and screening in populations at risk. In addition, we cannot forget that the diagnosis is mainly based on the direct biopsy of the lesion and imaging tests, which illustrates the need to study new diagnostic alternatives. Therefore, the purpose of this study is to review the natural history of the disease and describe the main biomarkers, explaining their clinical uses, prognosis and limitations.