Using the novel inflammatory biomarker lymphocyte-to-monocyte ratio (LMR), this work aimed to look into any potential connections between LMR and prostate cancer (PCa). A cross-sectional research investigation was conducted on 7706 male participants involved in the National Health and Nutrition Examination Survey from 2001 to 2010. Multivariate logistic regression modeling investigated the relationship between LMR levels and PCa risk. Furthermore, threshold analysis, subgroup analysis, interaction testing, and smoothed curve fitting were carried out. A significant negative correlation was seen between LMR and PCa risk (OR = 0.79, 95% CI: 0.65-0.97, P = .0002), even after controlling for potential confounding factors. A significant nonlinear negative correlation with a threshold effect and a breakpoint of 4.86 was found by smooth curve fitting between LMR and PCa. Subgroup analysis revealed a significant interaction (P for interaction = 0.0448) between the negative correlation between PCa and LMR about hypertension. Moreover, additional stratified smoothed curve fitting demonstrated a statistically significant inverse relationship between PCa risk and LMR. According to our findings, there is a substantial inverse relationship between PCa risk and LMR level. The inflammatory response-related index is quick, easy to use, and offers some clinical references. However, more extensive prospective investigations are required to confirm the involvement of LMR levels in PCa.

OBJECTIVE: Inflammation is thought to be a vital element in the etiology of cancer-related fatigue (CRF), and circulating blood cell parameters could be important markers of inflammatory response. However, the associations of several major blood cell counts and their derived inflammatory indices with CRF are not well described. The present study aimed to establish whether a relationship exists between the counts of three white blood cell (WBC) types, platelets, and CRF and investigate whether several systemic inflammatory indices were associated with CRF in patients with breast cancer (BC).
METHODS: A cross-sectional survey was conducted with a sample of 824 patients with BC undergoing chemotherapy. The cancer fatigue scale was administered to assess CRF. Hematological indicators, including neutrophils, lymphocytes, monocytes, and platelets, were retrieved from routine blood test. Network analyses were used to examine the associations among them.
RESULTS: Among 824 participants, the mean score of CRF was (27 ± 10), ranging from 0 to 57. The results of network models indicated that physical fatigue was negatively linked to lymphocyte counts (weight =  - 0.161), and affective fatigue was positively associated with neutrophil counts (weight = 0.070). Additionally, physical fatigue was positively linked to the platelet-to-lymphocyte ratio (PLR) (weight = 0.049).
CONCLUSIONS: There were preliminary associations of counts of three WBC types, platelet counts, and systemic inflammatory indices, with distinct dimensions of CRF in patients with BC. Findings provide empirical support for the cellular basis of fatigue-associated inflammatory states.

UNASSIGNED: Inflammation is integral to diabetes pathogenesis. The novel hematological inflammatory biomarker, platelet to white blood cell ratio (PWR), is linked with various conditions such as chronic kidney disease and stroke. However, the association of this novel clinical indicator with diabetes still remains unclear, which is investigated in this study.
UNASSIGNED: A total of 10,973 Chinese participants were included and grouped according to the tertiles of PWR (T1, T2, and T3 groups). Diagnosis of prediabetes and diabetes adhered to American Diabetes Association criteria. Binary logistic regression was adopted to assess the relationship between PWR and both diabetes and prediabetes. The dose-response relationship of PWR and diabetes was examined using restricted cubic spline regression. Subgroup and interaction analyses were conducted to investigate potential covariate interactions.
UNASSIGNED: Individuals with higher PWR had better lifestyles and lipid profiles (all P < 0.05). After adjusting for all the covariates, the T2 group had a 0.83-fold (95% CI: 0.73-0.93, P < 0.01) risk of diabetes and that for the T3 group was 0.68-fold (95% CI: 0.60-0.78. P < 0.001). Dose-response analysis identified non-linear PWR-diabetes associations in the general population and females (both P < 0.05), but absent in males. Participants with prediabetes in the T2 and T3 groups had lower risks of diabetes (OR = 0.80 for the T2 group, P < 0.001 and 0.68 for the T3 group, P < 0.001) in the full models. All the sensitivity analysis support consistent conclusions.
UNASSIGNED: An increase in PWR significantly correlates with reduced diabetes risks. A non-linear PWR-diabetes relationship exists in the general population and females, but not in males. The correlation between PWR and diabetes indicates that PWR holds potentials in early identification and prevention of diabetes.

Objective: To investigate the association of urinary cadmium levels with peripheral leukocyte classification counts among middle-aged and older adults aged 40 to 89 years in selected areas of China. Methods: The research was based on the survey of the impact of soil quality of agricultural land on human health in typical areas conducted in 2019-2020. A total of 5 600 middle-aged and older adults aged 40 to 89 years were included by using a multi-stage stratified random sampling method. Baseline characteristics of the subjects were collected and physical examinations were performed. Random midstream urine was collected to measure urinary cadmium and urinary creatinine and fasting venous blood was collected to measure the leukocyte count, neutrophil count, lymphocyte count, monocyte count and eosinophil count. The linear mixed effect model was used to analyse the association of urinary cadmium levels with leukocyte classification counts, and the dose-response relationship between them was analyzed by using the restricted cubic spline (RCS) function. Results: The age of the subjects was (63.17±12.02) years; 2 851 (50.91%) were males; and the M (Q1, Q3) of urinary creatinine-corrected urinary cadmium levels was 2.69 (1.52, 4.69) μg/g·creatinine. After adjusting for confounding factors, the results of linear mixed effects model analysis showed that for each 1-unit increase in urinary creatinine-corrected urinary cadmium level, the percentage change [% (95%CI)] of leukocyte count and lymphocyte count was -1.70% (-2.61%, -0.79%) and -1.57% (-2.86%, -0.26%), respectively. RCS function showed a negative linear relationship between urinary creatinine-corrected urinary cadmium levels and leukocyte counts and lymphocyte counts, respectively (all Pnon-linear>0.05). Conclusion: Urinary cadmium levels are negatively associated with leukocyte count and lymphocyte count among middle-aged and older adults aged 40 to 89 years in selected areas of China.
目的： 探讨我国部分地区40~89岁中老年人尿镉水平与外周血白细胞分类计数的关联。 方法： 本研究基于2019—2020年“典型地区农用地土壤质量对人群健康影响调查”项目，采用多阶段分层随机抽样方法，共纳入5 600名40~89岁的中老年人。收集研究对象的基线特征，进行体格检查；采集随机中段尿以检测尿镉和尿肌酐；采集空腹静脉血以检测白细胞计数、中性粒细胞计数、淋巴细胞计数、单核细胞计数和嗜酸性粒细胞计数。采用线性混合效应模型分析尿镉水平与外周血白细胞分类计数的关联，并采用限制性立方样条函数探索二者之间的剂量-反应关系。 结果： 研究对象的年龄为（63.17±12.02）岁；男性为2 851名（50.91%）；尿肌酐校正后尿镉水平的M（Q1，Q3）为2.69（1.52，4.69）μg/g·肌酐。校正相关混杂因素后，线性混合效应模型分析结果显示，尿肌酐校正后尿镉水平每增加1个单位，白细胞计数和淋巴细胞计数的变化百分比［%（95%CI）］分别为-1.70%（-2.61%，-0.79%）和-1.57%（-2.86%，-0.26%）。限制性立方样条函数分析结果显示，尿肌酐校正后尿镉水平与白细胞计数、淋巴细胞计数分别呈负向线性关系（均P非线性>0.05）。 结论： 我国部分地区40~89岁中老年人尿肌酐校正后尿镉水平与白细胞计数、淋巴细胞计数呈负向关联。.

This study was performed to analyze fingertip capillary blood sampling in pediatric patients using microcapillary blood collection tubes and microhematocrit tubes and to compare the blood cell analysis results obtained via these two blood collection methods. Finger capillary blood was collected from 110 outpatients using microcapillary blood collection tubes and microhematocrit tubes and complete blood count analysis was performed with a Sysmex XS-900i hematology analyzer and manual microscopy for blood cell morphology. Paired data was evaluated for agreement and bias using the microhematocrit samples as the reference group and the samples from the microcapillary blood collection tubes as the observation group. The two blood collection methods demonstrated good agreement for measuring red blood cell (RBC) parameters (i.e., RBC, Hb, Hct, MCV, MCH and MCHC), wherein the relative bias was > allowable total error (TEa) in 0.91%, 1.82%, 11.82%, 1.82%, 0.91% and 8.18% of the parameter measures, respectively. According to industry requirements, the proportion of samples meeting the acceptable bias level should be > 80%. Additionally, the estimated biases at each medical decision level were within clinically acceptable levels for RBC, Hb, Hct, and MCV. However, the proportion of WBC and PLT counts with relative bias > TEa was 25.45% and 35.45%, respectively. Furthermore, the relative bias of the WBC count at the medical decision level of 0.5 × 109/L and that of the PLT counts at the medical decision levels of 10 × 109/L and 50 × 109/L were clinically significant. Bland-Altman analysis further showed a mean bias of 0.66 × 109/L (95% LoA, - 0.79 to 2.11) for the WBC count and 39 × 109/L (95% LoA, - 46 to 124) for the PLT count from the blood samples collected in the microcapillary blood collection tubes compared with the counts of those collected in the microhematocrit tubes. Neutrophil, monocyte, lymphocyte, eosinophil, and PLT counts increased significantly in the microcapillary blood collection tubes compared with those in the microhematocrit tubes, along with an elevated number of instrument false alarms (P < 0.05). The two capillary blood collection devices exhibit performance differences. Therefore, clinicians should pay attention to the variation in results caused by different blood collection methods.

Effects of short-term exposure to ambient air pollution on systemic immunological and inflammatory biomarkers in rural population have not been adequately characterized. From May to July 2021, 5816 participants in rural villages of northern Henan Province, China, participated in this cross-sectional study. Blood biomarkers of systemic inflammation were determined including peripheral white blood cells (WBC), eosinophils (EOS), basophils (BAS), monocytes (MON), lymphocytes (LYM), neutrophils (NEU), neutrophil-lymphocyte ratio (NLR), and serum high-sensitivity C-reactive protein (hs-CRP). The concentrations of ambient fine particulate matter (PM2.5), PM10, nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) were assessed up to 7 days prior to the blood draw. A generalized linear model was used to analyze the associations between air pollution exposure and the above-mentioned blood biomarkers. Significantly positive associations were revealed between PM2.5, CO and WBC; CO, O3 and LYM; PM2.5, PM10, SO2, CO and NEU; PM2.5, PM10, SO2, CO and NLR; PM2.5, PM10, SO2, NO2, CO, O3 and hs-CRP. Meanwhile, negative associations were found between SO2 and WBC; PM2.5, PM10, NO2, CO, or O3 and EOS; PM2.5, SO2, or CO and BAS; SO2, NO2 or O3 and MON; PM2.5, PM10, SO2, or NO2 and LYM. Moreover, men, individuals with normal body mass index (BMI), current smokers, and those older than 60 years were found vulnerable to air pollution effects. Taken together, short-term exposure to air pollution was associated with systemic inflammatory responses, providing insight into the potential mechanisms for air pollution-induced detrimental systemic effects in rural residents.

OBJECTIVE: To investigate the structural characteristics of intestinal flora in children with sepsis and its association with inflammatory response.
METHODS: A prospective cohort study was conducted. The children with sepsis who were admitted from December 2021 to January 2023 were enrolled as the sepsis group, and the children with non-sepsis who were admitted during the same period were enrolled as the non-sepsis group. The two groups were compared in terms of the distribution characteristics of intestinal flora, peripheral white blood cell count (WBC), C reactive protein (CRP), and cytokines, and the correlation of the relative abundance of fecal flora with WBC, CRP, and cytokines was analyzed.
RESULTS: At the genus level, compared with the non-sepsis group, the sepsis group had significantly lower relative abundance of Akkermansia, Ruminococcus, and Alistipes and significantly higher relative abundance of Enterococcus, Streptococcus, and Staphylococcus (P<0.05). At the phylum level, Proteobacteria was the dominant phylum (37.46%) in the group of children with a score of ≤70 from the Pediatric Critical Illness Score (PICS), and Firmicutes was the dominant phylum in the group of children with a score of 71-80 or 81-90 from the PICS (72.20% and 43.88%, respectively). At the genus level, among the 18 specimens, 5 had a relative abundance of >50% for a single flora. Compared with the non-sepsis group, the sepsis group had significant higher levels of WBC, CRP, interleukin-6 (IL-6), interleukin-10 (IL-10), and tumor necrosis factor-α (P<0.05). The Spearman\'s rank correlation analysis showed that at the genus level, the relative abundance of Ruminococcus, Alistipes, and Parasutterella in the sepsis group was negatively correlated with the levels of WBC, CRP, and IL-6 (P<0.05); the relative abundance of Enterococcus was positively correlated with the CRP level (P<0.01); the relative abundance of Streptococcus and Staphylococcus was positively correlated with the levels of CRP and IL-6 (P<0.05); the relative abundance of Streptococcus was positively correlated with WBC (P<0.05).
CONCLUSIONS: Intestinal flora disturbance is observed in children with sepsis, and its characteristics vary with the severity of the disease. The structural changes of intestinal flora are correlated with inflammatory response in children with sepsis.
目的: 探讨脓毒症患儿肠道菌群结构特征及其与炎症反应的相关性。方法: 采用前瞻性队列研究方法，纳入2021年12月—2023年1月收治的脓毒症患儿为研究对象（设为脓毒症组），选择同期住院的感染非脓毒症患儿为对照（设为非脓毒症组）。比较两组患儿肠道菌群分布特征、外周白细胞（white blood cell, WBC）计数、C-反应蛋白（C-reactive protein, CRP）、细胞因子水平的差异，并将大便菌群相对丰度与WBC计数、CRP、细胞因子水平进行相关性分析。结果: 属水平上，脓毒症组阿克曼氏菌属、瘤胃球菌属及另枝杆菌属相对丰度低于非脓毒症组，肠球菌属、链球菌属、葡萄球菌属相对丰度高于非脓毒症组（P<0.05）。门水平上，脓毒症患儿小儿危重症评分≤70分组以变形菌门为优势菌门（37.46%），71~80分组和81~90分组优势菌门为厚壁菌门（分别为72.20%、43.88%）。属水平上，18例标本中5例标本单一菌群相对丰度超过50%。脓毒症组WBC计数、CRP、白介素（interleukin, IL）-6、IL-10、肿瘤坏死因子-α水平高于非脓毒症组（P<0.05）。Spearman秩相关性分析显示：在属水平上，脓毒症组瘤胃球属、另枝杆菌属、副萨特氏菌属相对丰度与WBC计数、CRP、IL-6水平均呈负相关（P<0.05）；肠球菌属相对丰度与CRP水平呈正相关（P<0.01）；链球菌属、葡萄球菌属等相对丰度与CRP、IL-6水平均呈正相关（P<0.05）；链球菌属相对丰度与WBC计数呈正相关（P<0.05）。结论: 脓毒症患儿肠道菌群呈紊乱状态，且随病情程度不同具有特征性；脓毒症患儿肠道菌群结构改变与机体炎症反应具有相关性。.

Langerhans cell histiocytosis (LCH) is a rare inflammatory myeloid neoplasm characterized by the clonal proliferation of myeloid progenitor cells. The reactivation rate of LCH exceeds 30%. However, an effective prediction model to predict reactivation is lacking. To select potential prognostic factors of LCH and construct an easy-to-use predictive model based on machine-learning algorithms. Clinical records of LCH inpatients in the Second Xiangya Hospital of Central South University, from 2008 to 2022, were retrospectively studied. Seventy-six patients were classified into a reactivated/progressive group or a stable group. Clinical features and laboratory outcomes were compared, and machine-learning algorithms were used for building prognostic prediction models. Clinical classification (single-system LCH, multiple-system LCH, and central nervous system/lung LCH), level of anemia, bone involvement, skin involvement, and elevated monocyte count were the best performing factors and were finally chosen for the construction of the prediction models. Our results show that the above-mentioned five factors can be used together in a prediction model for the prognosis of LCH patients. The major limitations of this study include its retrospective nature and the relatively small sample size.

Sysmex DI-60 enumerates and classifies leukocytes. Limited research has evaluated the performance of Sysmex DI-60 in abnormal samples, and most focused on leukopenic samples. We evaluate the efficacy of DI-60 in determining white blood cell (WBC) differentials in normal and abnormal samples in different WBC count. Peripheral blood smears (n = 166) were categorised into normal control and disease groups, and further divided into moderate and severe leucocytosis, mild leucocytosis, normal, mild leukopenia, and moderate and severe leukopenia groups based on WBC count. DI-60 preclassification and verification and manual counting results were assessed using Bland-Altman and Passing-Bablok regression analyses. The Kappa test compared the concordance in the abnormal cell detection between DI-60 and manual counting. DI-60 exhibited notable overall sensitivity and specificity for all cells, except basophils. The correlation between the DI-60 preclassification and manual counting was high for segmented neutrophils, band neutrophils, lymphocytes, and blasts, and improved for all cell classes after verification. The mean difference between DI-60 and manual counting for all cell classes was significantly high in moderate and severe leucocytosis (WBC > 30.0 × 109/L) and moderate and severe leukopenia (WBC < 1.5 × 109/L) groups. For blast cells, immature granulocytes, and atypical lymphocytes, the DI-60 verification results were similar to the manual counting results. Plasma cells showed poor agreement. In conclusion, DI-60 demonstrates consistent and reliable analysis of WBC differentials within the range of 1.5-30.0 × 109. Manual counting was indispensable in examining moderate and severe leucocytosis samples, moderate and severe leukopenia samples, and in enumerating of monocytes and plasma cells.

Hepatitis B virus (HBV) damages liver cells through abnormal immune responses. Mitochondrial metabolism is necessary for effector functions of white blood cells (WBCs). The aim was to investigate the altered counts and mitochondrial mass (MM) of WBCs by two novel indicators of mitochondrial mass, MM and percentage of low mitochondrial membrane potential, MMPlow%, due to chronic HBV infection. The counts of lymphocytes, neutrophils and monocytes in the HBV infection group were in decline, especially for lymphocyte (p = 0.034) and monocyte counts (p = 0.003). The degraded MM (p = 0.003) and MMPlow% (p = 0.002) of lymphocytes and MM (p = 0.005) of monocytes suggested mitochondrial dysfunction of WBCs. HBV DNA within WBCs showed an extensive effect on mitochondria metabolic potential of lymphocytes, neutrophils and monocytes indicated by MM; hepatitis B e antigen was associated with instant mitochondrial energy supply indicated by MMPlow% of neutrophils; hepatitis B surface antigen, antiviral therapy by nucleos(t)ide analogues and prolonged infection were also vital factors contributing to WBC alterations. Moreover, degraded neutrophils and monocytes could be used to monitor immune responses reflecting chronic liver fibrosis and inflammatory damage. In conclusion, MM combined with cell counts of WBCs could profoundly reflect WBC alterations for monitoring chronic HBV infection. Moreover, HBV DNA within WBCs may be a vital factor in injuring mitochondria metabolic potential.