Mean platelet volume (MPV): new diagnostic indices for co-morbidity of tuberculosis and diabetes mellitus

Platelet distribution width as an useful indicator of influenza severity in children

PURPOSE

The present study aims to investigate the potential of platelet distribution width as an useful parameter to assess the severity of influenza in children.

METHODS

Baseline characteristics and laboratory results were collected and analyzed. Receiver operating characteristic (ROC) curve analysis was used to joint detection of inflammatory markers for influenza positive children, and the scatter-dot plots were used to compare the differences between severe and non-severe group.

RESULTS

Influenza B positive children had more bronchitis and pneumonia (P < 0.05), influenza A infected children had more other serious symptoms (P = 0.007). Neutrophil count, lymphocyte count, neutrophil-to-lymphocyte ratio (NLR), and platelet parameters performed differently among < 4 years and ≥ 4 years children with influenza. Combined detection of platelet parameters and other indicators could better separate healthy children from influenza infected children than single indicator detection. The levels of platelet distribution width of children with severe influenza (A and B) infection was significantly dropped, compared with non-severe group (P < 0.05).

CONCLUSIONS

Platelet distribution width could be a very useful and economic indicator in distinction and severity assessment for children with influenza.

The efficacy of Bloso fish (Glossogobius giuris sp.) in improving hemoglobin, hematocrit, platelet, and albumin levels of Wistar rats with hypoalbuminemia

Tuberculosis (TB) is an infectious disease worldwide that causes death. Common clinical manifestations of patients with TB include anemia, hypoalbuminemia, and malnutrition. Most patients with TB are infected with coccus bacteria, such as Staphylococcus aureus, that commonly attack the respiratory tract. However, the consumption of heme protein sources could improve the nutritional status of patients with TB. Fish comprise one of the most widely consumed sources of heme. The bloso fish (Glossogobius giuris sp.), considered a fish without economic value is a new alternative source of heme protein. This study aimed to develop supplements using bloso fish (Glossogobius giuris sp.). This study used an experimental pretest-post-test control group design. Seven male Wistar rats were used as the negative control group. Twenty- eight male Wistar rats were administered S. aureus, fed a protein-deficient diet, and divided into the positive control group, the K1 group, which received up to 675 mg/200 g of bloso fish flour, the K2 group, which received up to 67.5 mg/200 g of bloso fish oil, and the K3 group, which received up to 675 mg/200 g of bloso fish fluor from oil extraction dregs. Treatment was administered for 28 days. The hemoglobin (Hb), hematocrit (Ht), platelet, and albumin levels in blood serum from the retroorbital vein were measured. Data were processed using a paired t-test and one-way analysis of variance. The results showed differences in Hb, Ht, platelet, and albumin levels were observed before and after treatment. Additionally, differences in Hb, Ht, platelet, and albumin levels were observed in the groups that received bloso fish flour and bloso fish oil. Bloso fish flour and bloso fish oil increased the Hb, Ht, platelet, and albumin levels of rats with hypoalbuminemia.

Difference between the blood samples of patients with bone and joint tuberculosis and patients with tuberculosis studied using machine learning

Background

Tuberculosis (TB) is a chronic infectious disease. Bone and joint TB is a common type of extrapulmonary TB and often occurs secondary to TB infection. In this study, we aimed to find the difference in the blood examination results of patients with bone and joint TB and patients with TB by using machine learning (ML) and establish a diagnostic model to help clinicians better diagnose the disease and allow patients to receive timely treatment.

Methods

A total of 1,667 patients were finally enrolled in the study. Patients were randomly assigned to the training and validation cohorts. The training cohort included 1,268 patients: 158 patients with bone and joint TB and 1,110 patients with TB. The validation cohort included 399 patients: 48 patients with bone and joint TB and 351 patients with TB. We used three ML methods, namely logistic regression, LASSO regression, and random forest, to screen the differential variables, obtained the most representative variables by intersection to construct the prediction model, and verified the performance of the proposed prediction model in the validation group.

Results

The results revealed a great difference in the blood examination results of patients with bone and joint TB and those with TB. Infectious markers such as hs-CRP, ESR, WBC, and NEUT were increased in patients with bone and joint TB. Patients with bone and joint TB were found to have higher liver function burden and poorer nutritional status. The factors screened using ML were PDW, LYM, AST/ALT, BUN, and Na, and the nomogram diagnostic model was constructed using these five factors. In the training cohort, the area under the curve (AUC) value of the model was 0.71182, and the C value was 0.712. In the validation cohort, the AUC value of the model was 0.6435779, and the C value was 0.644.

Conclusion

We used ML methods to screen out the blood-specific factors-PDW, LYM, AST/ALT, BUN, and Na⁺-of bone and joint TB and constructed a diagnostic model to help clinicians better diagnose the disease in the future.

Association Between Promoter Methylation of Vitamin D Metabolic Pathway Genes and Tuberculosis and Diabetes Comorbidity in a Chinese Han Population: A Case-Control Study

Background

Deficiency vitamin D and hyperglycemia could be related to weakened innate immune response and aggravate the progression of tuberculosis (TB). This study hypothesized that DNA promoter methylation of the pivotal genes in the vitamin D metabolic pathway might be related to diabetes and tuberculosis co-morbidity (TB-DM) susceptibility.

Methods

A total of 50 TB-DM and 50 healthy subjects (HS) were included in the present study. Targeted bisulfite sequencing was applied to detect the methylation of the promoter regions of candidate genes in the vitamin D metabolic pathway (CYP24A1, CYP27B1, CYP2R1, DHCR7, and VDR) in whole blood.

Results

The overall methylation level of candidate genes in this study was lower in patients with TB-DM than HS, except for CYP2R1. The results of the ROC demonstrated the potential of CYP24A1, CYP27B1, DHCR7, and VDR promoter methylation as a biomarker for diagnosing TB-DM, with all the AUC above 0.7. In subgroup analysis, we found that lower circulating vitamin D is related to a low level of CYP24A1, CYP27B1, and DHCR7 promoter methylation in patients with TB-DM. With decreasing methylation level, risk of TB-DM was significantly increased (odds ratio, 95% CI 0.343, 0.144-0.821 for CYP24A1; 0.461, 0.275-0.773 for CYP27B1; 0.09, 0.015-0.530 for DHCR7; 0.006, 0.0003-0.115 for VDR). Besides, our results revealed that there was a significant correlation between DNA promoter methylation of selected genes in the vitamin D metabolic pathway and platelet indices in TB-DM. However, there was no correlation between DNA methylation of the four genes and fasting glucose and HbA1c.

Conclusion

Our results could suggest that the selected genes in the vitamin D metabolic pathway may be involved in the pathological process of TB-DM, but independent of the process of hyperglycemia to impaired immune responses to Mtb.

A scoring system developed from a nomogram to differentiate active pulmonary tuberculosis from inactive pulmonary tuberculosis

Purpose

This study aimed to develop and validate a scoring system based on a nomogram of common clinical metrics to discriminate between active pulmonary tuberculosis (APTB) and inactive pulmonary tuberculosis (IPTB).

Patients and methods

A total of 1096 patients with pulmonary tuberculosis (PTB) admitted to Wuhan Jinyintan Hospital between January 2017 and December 2019 were included in this study. Of these patients with PTB, 744 were included in the training cohort (70%; 458 patients with APTB, and 286 patients with IPTB), and 352 were included in the validation cohort (30%; 220 patients with APTB, and 132 patients with IPTB). Data from 744 patients from the training cohort were used to establish the diagnostic model. Routine blood examination indices and biochemical indicators were collected to construct a diagnostic model using the nomogram, which was then transformed into a scoring system. Furthermore, data from 352 patients from the validation cohort were used to validate the scoring system.

Results

Six variables were selected to construct the prediction model. In the scoring system, the mean corpuscular volume, erythrocyte sedimentation rate, albumin level, adenosine deaminase level, monocyte-to-high-density lipoprotein ratio, and high-sensitivity C-reactive protein-to-lymphocyte ratio were 6, 4, 7, 5, 5, and 10, respectively. When the cut-off value was 15.5, the scoring system for recognizing APTB and IPTB exhibited excellent diagnostic performance. The area under the curve, specificity, and sensitivity of the training cohort were 0.919, 84.06%, and 86.36%, respectively, whereas those of the validation cohort were 0.900, 82.73, and 86.36%, respectively.

Conclusion

This study successfully constructed a scoring system for distinguishing APTB from IPTB that performed well.

C-reactive protein Lymphocyte Ratio in the Diagnosis of Pulmonary Tuberculosis

Background: Tuberculosis (TB) is still a severe problem in underdeveloped and developing countries. Diagnostic tests are unavailable in every health institution, and TB culture can take up to 45 days. Therefore, there is a need for cheaper, faster, and easily accessible diagnostic methods that can guide the diagnosis. This study aimed to determine whether red blood cell distribution width (RDW), C-reactive protein (CRP)-lymphocyte ratio (CLR), platelet-lymphocyte ratio (PLR), and lymphocyte-monocyte ratio (LMR) can be used as biomarkers in the diagnosis of pulmonary TB in patients with no comorbidities. Material and Methods: Files of microbiologically confirmed 122 patients with pulmonary TB and 153 patients in whom pulmonary TB was excluded were retrospectively reviewed. Out of them, patients with comorbidities were excluded from the study. Eighty-one patients with TB and 100 controls were included in the study. Results: The lymphocyte, eosinophil, and LMR levels remained significantly lower in the TB group, while neutrophil, monocyte, RDW, platelet, and PLR levels were higher in the same group. Conclusion: In those patients suspicious of pulmonary TB, higher levels of RDW, PLR, and CLR, whereas lower levels of eosinophil, PDW, and LMR may predict the diagnosis of pulmonary TB in previously healthy individuals.

Cellular Immunity of Patients with Tuberculosis Combined with Diabetes

Tuberculosis (TB) is one of humanity's three major infectious diseases. Diabetes mellitus (DM) is a metabolic disease characterized by hyperglycemia due to impaired insulin secretion or impaired insulin function. It has been reported that DM is a primary risk factor for TB disease. Given the increasing public health threat to people's health, more and more studies have focused on diabetes complicated by TB. Hyperglycemia can affect the function of human immune cells, promote primary infections and reactivation of TB, and increase the susceptibility and severity of TB. However, the immunological mechanism behind it is still not clear. By reviewing the related articles on tuberculosis complicated with diabetes published in recent years, this paper expounds on the effect of hyperglycemia on innate immunity and adaptive immunity of patients with TB. This review provides new insights for elucidating the immunological mechanism of TB complicated with DM and lays the foundation for finding potential targets for preventing and treating TB combined with DM.

The Relationship between Platelet Indices and Ultrasound, Clinical, Laboratory Parameters of Disease Activity in Patients with Rheumatoid Arthritis

(1) Background: A proper assessment of disease activity is crucial for the management of a patient with rheumatoid arthritis (RA). Platelets seem to be involved in joint inflammation pathophysiology. Platelet indices (PIs) are markers of platelet activation, and include platelet count (PC), mean platelet volume (MPV), platelet distribution width (PDW) and plateletcrit (PCT). The purpose of the study was to assess the relationship between PIs and disease activity markers, both systemic (clinical, laboratory) and local (ultrasound, US), in patients with RA; (2) Methods: The study group consisted of 131 consecutive RA patients. The following assessments were performed: joint counts, Disease Activity Score (DAS28), complete blood cell counts, erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and US of 24 small joints; (3) Results: Mean values of PIs remained within the normal reference ranges. Values of PC, PCT, PDW were significantly associated with disease activity markers, both clinical (DAS28, joint counts) and laboratory (CRP, ESR). In patients with high disease activity, PC, PCT were significantly higher and PDW lower. PC was positively correlated with Power Doppler US (PDUS) score. In patients with features of RA severity (antibodies positivity, extra-articular manifestations) PC and PCT were positively associated with all US parameters (Grey Scale US, PDUS, Global scores); (4) Conclusions: In patients with RA, PC and PCT may serve as positive disease activity markers and PDW may serve as a negative marker. PIs may be used as reliable, inexpensive markers of RA systemic activity; they may also serve as markers of local inflammation in the joints affected by RA.