The prognostic value and model construction of inflammatory markers for patients with non-small cell lung cancer

The aim of this study was to investigate and analyse the predictive value of systemic inflammatory markers based on peripheral blood biomarkers for the prognosis of non-small cell lung cancer (NSCLC) patients. Based on a retrospective monitoring cohort of 973 NSCLC patients from an Affiliated Tumor Hospital from 2012 to 2023. The log-rank test and Cox proportional risk regression model were used to identify independent prognostic inflammatory markers. Subsequently, a nomogram prediction model was constructed and evaluated. The results of multivariate Cox regression analysis showed that patients with high NLR group (HR = 1.238, 95% CI 1.015-1.510, P = 0.035), and high CAR group (HR = 1.729, 95% CI 1.408-2.124, P < 0.001) were risk factors affecting the prognosis of NSCLC patients. The nomogram that includes age, tumor stage, smoking history, BMI, NLR, and CAR can effectively predict the prognosis of NSCLC patients.The inflammatory markers NLR and CAR, which combine inflammatory and nutritional status, are effective predictors of the prognosis of NSCLC patients. The combination of clinical information and these easily accessible inflammatory markers has significant research value for prognostic assessment, clinical treatment, and follow-up monitoring of NSCLC patients.

Association Studies of Serum Levels of TNF- α, IL-10, IFN-γ and CXCL 5 with Latent Tuberculosis Infection in Close Contacts

Purpose

Early recognition and treatment of latent tuberculosis infection(LTBI) is key to tuberculosis(TB) prevention. However, the emergence of LTBI is influenced by a combination of factors, of which the role of individual immune cytokines remains controversial. The aim of this study is to explore the influencing factors of LTBI and their effects with cytokines on LTBI.

Patients and Methods

Close contacts of tuberculosis in Urumqi City from 2021 to 2022 were selected for the study to conduct a field survey. It used logistic regression model to analyse the influencing factors of LTBI, principal component analysis to extract a composite indicators of cytokines, and structural equation modelling to explore the direct and indirect effects of cytokines and influencing factors on LTBI.

Results

LTBI infection rate of 33.3% among 288 TB close contacts. A multifactorial Logistic model showed that factors influencing LTBI included education, daily contact hours, eating animal liver, and drinking coffee (P<0.05); After controlling for confounding factors and extracting composite indicators of cytokines using principal component analysis, CXCL5 and IFN-γ is a protective factor for LTBI(OR=0.572, P=0.047), IL-10 and TNF-α is a risk factor for LTBI(OR=2.119, P=0.010); Structural equation modelling shows drinking coffee, eating animal liver, daily contact hours, and IL-10 and TNF-α had direct effects on LTBI and educations had indirect effects on LTBI(P<0.05).

Conclusion

IL-10 and TNF-α are involved in the immune response and are directly related to LTBI. By monitoring the cytokine levels of TB close contacts and paying attention to their dietary habits and exposure, we can detect and intervene in LTBI at an early stage and control their progression to TB.

Causal association study of the dynamic development of the metabolic syndrome based on longitudinal data

The dynamic progression of metabolic syndrome (MetS) includes developmental deterioration and reverse recovery; however, the key factors in this bidirectional progression have not been identified. Our study aimed to use the data obtained from the China Health and Retirement Longitudinal Study (CHARLS) and construct a Bayesian network to explore the causal relationship between influential factor and the development and recovery of MetS. Followed up at 4 years, forward progression of MetS occurred in 1543 and reverse recovery of MetS occurred in 1319 of 5581 subjects. Bayesian Networks showed that hyperuricemia and body mass index (BMI) levels directly influenced progression of MetS, and gender, exercise and age play an indirect role through hyperuricemia and BMI levels; high hemoglobin A1c (HbA1c) and BMI levels directly influenced recovery of MetS, and gender and exercise play an indirect role through BMI levels. Bayesian Network inference found that the rate of progression of MetS in subjects with hyperuricemia increases from 36 to 60%, the rate of progression of MetS in subjects with overweight or obese increases from 36 to 41% and the rate of reverse recovery rate of MetS in subjects with high HbA1c decreased from 33 to 20%. Therefore, attention to individuals at high risk of hyperuricemia, high HbA1c levels, and overweight/obesity should be enhanced, with early detection and following healthy behavioral interventions to prevent, control and delay the progression of MetS and its components.

Relationship between vitamin D receptor gene polymorphisms and second acid-fast bacilli smear-positive during treatment for tuberculosis patients

PURPOSE

Tuberculosis (TB) treatment is associated with Vitamin D. This study aimed to explore the relationship between Vitamin D receptor (VDR) gene polymorphisms and second acid-fast bacilli (AFB) smear-positive during treatment for TB patients.

METHODS

This was a cross-sectional study. Seven hundred and thirty-one TB patients whose single nucleotide polymorphism site (SNPs) of VDR gene were detected from December 2019 to December 2020 in XinJiang of China. The genotypic distributions in each group were tested separately for Hardy-Weinberg equilibrium. The tetragram test was used to construct haplotypes to evaluate the association between each haplotype and second AFB smear-positive occurrence.

RESULTS

No significant deviations were observed with all the four polymorphism sites in the genotypic distributions (P>0.05). Linkage disequilibrium (LD) analysis showed that there was LD between SNPs of VDR gene (r²=0.74, D`>0.9). Each haplotype was not considered to be the influencing factor of second AFB smear-positive.

CONCLUSIONS

There is no association between VDR gene polymorphism (ApaI, BsmI, FokI and TaqI) and second AFB smear-positive.

Opening the black box: interpretable machine learning for predictor finding of metabolic syndrome

OBJECTIVE

The internal workings ofmachine learning algorithms are complex and considered as low-interpretation "black box" models, making it difficult for domain experts to understand and trust these complex models. The study uses metabolic syndrome (MetS) as the entry point to analyze and evaluate the application value of model interpretability methods in dealing with difficult interpretation of predictive models.

METHODS

The study collects data from a chain of health examination institution in Urumqi from 2017 ~ 2019, and performs 39,134 remaining data after preprocessing such as deletion and filling. RFE is used for feature selection to reduce redundancy; MetS risk prediction models (logistic, random forest, XGBoost) are built based on a feature subset, and accuracy, sensitivity, specificity, Youden index, and AUROC value are used to evaluate the model classification performance; post-hoc model-agnostic interpretation methods (variable importance, LIME) are used to interpret the results of the predictive model.

RESULTS

Eighteen physical examination indicators are screened out by RFE, which can effectively solve the problem of physical examination data redundancy. Random forest and XGBoost models have higher accuracy, sensitivity, specificity, Youden index, and AUROC values compared with logistic regression. XGBoost models have higher sensitivity, Youden index, and AUROC values compared with random forest. The study uses variable importance, LIME and PDP for global and local interpretation of the optimal MetS risk prediction model (XGBoost), and different interpretation methods have different insights into the interpretation of model results, which are more flexible in model selection and can visualize the process and reasons for the model to make decisions. The interpretable risk prediction model in this study can help to identify risk factors associated with MetS, and the results showed that in addition to the traditional risk factors such as overweight and obesity, hyperglycemia, hypertension, and dyslipidemia, MetS was also associated with other factors, including age, creatinine, uric acid, and alkaline phosphatase.

CONCLUSION

The model interpretability methods are applied to the black box model, which can not only realize the flexibility of model application, but also make up for the uninterpretable defects of the model. Model interpretability methods can be used as a novel means of identifying variables that are more likely to be good predictors.

Construction of Xinjiang metabolic syndrome risk prediction model based on interpretable models

Background

We aimed to construct simple and practical metabolic syndrome (MetS) risk prediction models based on the data of inhabitants of Urumqi and to provide a methodological reference for the prevention and control of MetS.

Methods

This is a cross-sectional study conducted in the Xinjiang Uygur Autonomous Region of China. We collected data from inhabitants of Urumqi from 2018 to 2019, including demographic characteristics, anthropometric indicators, living habits and family history. Resampling technology was used to preprocess the data imbalance problems, and then MetS risk prediction models were constructed based on logistic regression (LR) and decision tree (DT). In addition, nomograms and tree diagrams of DT were used to explain and visualize the model.

Results

Of the 25,542 participants included in the study, 3,267 (12.8%) were diagnosed with MetS, and 22,275 (87.2%) were diagnosed with non-MetS. Both the LR and DT models based on the random undersampling dataset had good AUROC values (0.846 and 0.913, respectively). The accuracy, sensitivity, specificity, and AUROC values of the DT model were higher than those of the LR model. Based on a random undersampling dataset, the LR model showed that exercises such as walking (OR=0.769) and running (OR= 0.736) were protective factors against MetS. Age 60 ~ 74 years (OR=1.388), previous diabetes (OR=8.902), previous hypertension (OR=2.830), fatty liver (OR=3.306), smoking (OR=1.541), high systolic blood pressure (OR=1.044), and high diastolic blood pressure (OR=1.072) were risk factors for MetS; the DT model had 7 depth layers and 18 leaves, with BMI as the root node of the DT being the most important factor affecting MetS, and the other variables in descending order of importance: SBP, previous diabetes, previous hypertension, DBP, fatty liver, smoking, and exercise.

Conclusions

Both DT and LR MetS risk prediction models have good prediction performance and their respective characteristics. Combining these two methods to construct an interpretable risk prediction model of MetS can provide methodological references for the prevention and control of MetS.

[Visual fixation patterns during basic facial emotion recognition and its correlation with social impairment among children with high-functioning autism spectrum disorder]

Objective: To explore the visual fixation patterns during facial emotion recognition and the association between fixation duration percentage (FDP) of eye region with social impairment among high-functioning autism spectrum disorders (HFASD). Methods: Children were recruited from the Child and Adolescent Behavior Research Center of Sun Yat-sen University, Guangzhou, between July and December 2019 for case control study. A total of 42 children with HFASD and 23 age-and gender-matched typical development (TD) children were enrolled. Based on their performance during the facial emotion recognition task, HFASD children were further divided into ASD-1 group (correctly recognized both happy and fear emotions) and ASD-2 group (recognized happy emotions only). During the free viewing task, an infrared eye tracker was used to record the gazing data of children in the three groups. The social responsiveness scales (SRS) was utilized to evaluate HFASD children's social impairment, with the cutoff score of 75 to differentiate those from mild and severe social impairment. The differences of FDP among the three groups were analyzed by the Analysis of Variance (ANOVA) model. Mixed linear regression model was conducted to evaluate the associations between social impairment and FDP of eye region among HFASD children. Results: The final sample consists of 25 ASD-1 (20 males, aged (7.9±1.0) years), 17 ASD-2(14 males, aged (7.2±1.2) years), and 23 TD (12 males, aged (7.7±1.3) years) children. There were no significant differences in age and gender among three groups (F=2.05, χ²=10.08, P=0.14 and 0.07, respectively). For the happy emotion, there are significant differences in eye FDP among the three groups (TD: 0.37±0.20, ASD-1: 0.35±0.20, ASD-2: 0.47±0.24, F=3.97, P=0.02). Mixed linear regression model revealed that, adjusting for emotion, gender, age and intelligence quotient, ASD children's eye FDP negatively associates with social impairment (OR=0.15, 95%CI: 0.06-0.35, P<0.01). Conclusions: Longer FDP is associated with milder social impairment among HFASD children. HFASD children with facial emotion recognition difficulties require longer fixation to recognize happy emotions.

[The Breast Cancer Cohort Study in Chinese Women: the methodology of population-based cohort and baseline characteristics]

Objective: Breast cancer has been the first cancer among women with the incidence increasing gradually. In September 2016, the Breast Cancer Cohort Study in Chinese Women (BCCS-CW) was initiated, aiming to establish a standardized and sharable breast cancer-specific cohort by integrating the existing cohort resource and improving the quality of follow-up. The BCCS-CW may provide a research basis and platform for the precision prevention and treatment of breast cancer in etiology identification, prevention, early diagnosis, treatment, and prognosis prediction. Methods: We conducted a population-based perspective cohort by questionnaire interview, anthropometry, biological specimens, breast ultrasound and mammography. The cohort was followed by using regional health surveillance and ad hoc survey. Results: Finally, BCCS-CW included 112 118 women, in which 55 419 women completed the standardized investigation and blood specimens were collected from 54 304 women. The mean age of participants was 51.7 years old, 62.7% were overweight or obese, and 48.9% were menopausal. Conclusion: The BCCS-CW will provide population-based cohort resource and research platform for the precise prevention and treatment of breast cancer in Chinese women.

MicroRNA-421 inhibits caspase-10 expression and promotes breast cancer progression

Breast cancer is one of the most prevalent and fatal diseases around the world. The mechanism of tumorigenesis in breast cancer remains to be clarified. miR-421 plays an oncogenic role in many cancers. Although, the clinical significance of miR-421 in patients with breast cancer is still to be investigated. Caspase-10 is one of the initiator of apoptosis. But the relationship between miR-421 and caspase-10 has not been investigated. In the present study, we found that miR-421 was expressed much higher in breast cancer tissues compared to those in adjacent non-tumor tissues. Furthermore, miR-421 promotes cell proliferation and colony formation in vitro. miR-421 inhibits cell apoptosis probably through restraining caspase-10 expression. Thus, miR-421 might be a potential diagnostic maker and therapeutic target for breast cancer.

Burden of tuberculosis in Xinjiang between 2011 and 2015: A surveillance data-based study

Background

Despite the reduction in reported incidence of tuberculosis globally, the burden of pulmonary tuberculosis (PTB) remains high in low- and middle- income countries, including China. The current study aims to evaluate the distribution and trend of PTB incidence in Xinjiang, the region with the highest PTB burden in China.

Methods

We identified all confirmed PTB case records reported to the Chinese TB Information Management System (TBIMS) between 2011 and 2015. We analyzed these records to measure the annual incidence of reported smear-positive PTB cases in Xinjiang and its trend over time. We also analyzed incidence by gender, residential area, and region. Spatial analysis was used to describe the inter-regional disparity of the disease burden during the study period.

Results

We identified 212,216 smear-positive PTB cases between 2011 and 2015. The reported incidence increased from 180.8 cases in 2011 to 195.8 cases in 2015 per 100,000 population. The southern region of Xinjiang had the highest disease burden (257.8/100,000 in 2011 and 312.7/100,000 in 2015). More than 60% cases occurred in persons >45 years, and 76% of cases lived in rural areas.

Conclusion

To reach the goal of elimination and control of TB, more comprehensive STOP TB strategies should be implemented in Xinjiang. Residents in the southern region and rural areas of Xinjiang require particular attention.

The incidence of liver injury in Uyghur patients treated for TB in Xinjiang Uyghur autonomous region, China, and its association with hepatic enzyme polymorphisms nat2, cyp2e1, gstm1 and gstt1

Background and Objective

Of three first-line anti-tuberculosis (anti-TB) drugs, isoniazid is most commonly associated with hepatotoxicity. Differences in INH-induced toxicity have been attributed to genetic variability at several loci, NAT2, CYP2E1, GSTM1and GSTT1, that code for drug-metabolizing enzymes. This study evaluated whether the polymorphisms in these enzymes were associated with an increased risk of anti-TB drug-induced hepatitis in patients and could potentially be used to identify patients at risk of liver injury.

Methods and Design

In a cross-sectional study, 2244 tuberculosis patients were assessed two months after the start of treatment. Anti-TB drug-induced liver injury (ATLI) was defined as an ALT, AST or bilirubin value more than twice the upper limit of normal. NAT2, CYP2E1, GSTM1 and GSTT1 genotypes were determined using the PCR/ligase detection reaction assays.

Results

2244 patients were evaluated, there were 89 cases of ATLI, a prevalence of 4% 9 patients (0.4%) had ALT levels more than 5 times the upper limit of normal. The prevalence of ATLI was greater among men than women, and there was a weak association with NAT2*5 genotypes, with ATLI more common among patients with the NAT2*5*CT genotype. The sensitivity of the CT genotype for identifying patients with ATLI was 42% and the positive predictive value 5.9%. CT ATLI was more common among slow acetylators (prevalence ratio 2.0 (95% CI 0.95,4.20) )compared to rapid acetylators. There was no evidence that ATLI was associated with CYP2E1 RsaIc1/c1genotype, CYP2E1 RsaIc1/c2 or c2/c2 genotypes, or GSTM1/GSTT1 null genotypes.

Conclusions

In Xinjiang Uyghur TB patients, liver injury was associated with the genetic variant NAT2*5, however the genetic markers studied are unlikely to be useful for screening patients due to the low sensitivity and low positive predictive values for identifying persons at risk of liver injury.

[Investigation of ophthalmic resources in Xinjiang Uyghur Autonomous Region in China]

OBJECTIVES

To explore ophthalmic resources and existing problems in Xinjiang Uyghur Autonomous Region, and to provide reasonable developing configuration for the future.

METHODS

It was a population-based cross-section study. By using questionnaire to collect data from all eye units (national and private) which were registered in Xinjiang area. Investigation included: (1) ophthalmic medical unit of name, structure type, departments constitute; (2) the ophthalmic medical work; (3) the number of ophthalmology health technicians and distribution; (4) ophthalmic devices usage; (5) carry out the problems and difficulties encountered in ophthalmic work. Descriptive statistic method was used to analyze the structure of ophthalmic material, the availability of resource, the medical institution of different regions and types.

RESULTS

One hundred and thirty questionnaire were filled out and 110 questionnaire were recovery. There were 107 eye units, 1709 beds for ophthalmic, 1672 employees, including 525 doctors, the ratio of doctors and nurses was 1.0:1.3. And the ophthalmic resources mainly distributed in northern Tianshan, very few in the eastern area in Xinjiang; ophthalmic units were denser in general hospitals which were above the county level. There were 43 580 ophthalmic surgeries in all, the main eye operation carried out was cataract surgery, including 20 303 (counted 46.59%) cataract operation.

CONCLUSIONS

The ophthalmic units distribution is unbalanced, which is short of ophthalmologists. It provides base for government to arrange ophthalmic resources reasonably, to enhance the research motivation and to cultivate more professors, and to increase the number of ophthalmic specialists in the general hospitals, and eventually to maximize the benefit of ophthalmic service in Xinjiang.

Contextual risk factors for regional distribution of Japanese encephalitis in the People's Republic of China

OBJECTIVE

To investigate the contextual risk factors for the regional distribution of Japanese encephalitis (JE) in the People's Republic of China to enhance the prevention and control of JE.

METHODS

A multilevel Poisson regression model was used to analyse the association between the epidemic of JE and its contextual risk factors with an emphasis on the proportion of rice-planting area, the extent of pig rearing and the proportion of rural population.

RESULTS

The highest risk of JE was observed in the southwestern and the central areas of P.R. China, characterized by high proportions of rice-planting area, rural population and extent of pig rearing. These contextual determinants seem to govern the risk of JE.

CONCLUSION

In P.R. China, an effective surveillance system should be established in the high-risk regions of JE; immunization coverage for the prevention of JE should be expanded in rural areas, and mosquito-control efforts should be made to enhance the prevention and control of JE.

Embryogenesis and plant regeneration of pakchoi (Brassica rapa L. ssp. chinensis) via in vitro isolated microspore culture

Isolated microspores of various populations of three varieties of the Chinese cabbage pakchoi (Brassica rapa ssp. chinensis) were cultivated in vitro on NLN82 medium (Lichter 1982) and embryos and plantlets obtained with nine cultivars. The best embryo yield per bud was 57.4. A 33°C one day heat treatment was generally necessary to induce embryogenesis. Analysis of ploidy level through flow cytometry for two cultivars indicated that haploids were present.