Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

Background Diseases severely affect the efficiency of workers. Comorbidity refers to the coexistence of two or more chronic diseases or health problems in the same individual. Previous studies have primarily focused on occupational injuries caused by environmental exposures, while the analysis of the epidemiological characteristics of self-reported diseases and occupational injuries among manufacturing workers has been insufficient. Objective To analyze the distribution of self-reported diseases and occupational injuries among manufacturing workers, the strength of correlation between different diseases, and common disease combinations, and to preliminarily explore the relationship between self-reported diseases and occupational injuries. Methods A cross-sectional survey was conducted to investigate the occupational injuries of 2382 workers in 2 manufacturing enterprises over the past year, and 2355 questionnaires were valid after cleaning. The questionnaire included three parts: basic information, occupational injury occurrence, and disease prevalence. The self-reported diseases diagnosed by physicians included musculoskeletal diseases, cardiovascular diseases, respiratory diseases, mental health problems, neurological and sensory organ diseases, digestive organ diseases, reproductive and urinary organ diseases, skin diseases, tumors, endocrine and metabolic system diseases, blood diseases and birth defects, a total of 11 types. Log-binomial model was used to calculate the prevalence ratio (PR) value of the association between different diseases, and UpSet diagram was used to present the disease combination pattern. Results In total, 40.2% (946/2355) of the study participants reported at least one disease, while 8.6% (203/2355), 5.2% (122/2355), and 5.9% (140/2355) reported having two, three, and four or more diseases, respectively. A higher prevalence was observed for musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases, which accounted for 18.0% (423/2355), 13.8% (324/2355), 9.3% (218/2355), and 9.1% (214/2355), respectively. Workers with musculoskeletal disorders, cardiovascular diseases, or neurological and sensory organ diseases reported significantly higher incidence of occupational injuries compared with workers without the corresponding diseases (P<0.001, P=0.041, and P=0.006, respectively). Musculoskeletal diseases were strongly associated with comorbidities of neurological and sensory organ diseases (PR values were 1.86 and 1.98, respectively), and the other patters were musculoskeletal diseases and digestive organ diseases (PR and OR values were 1.57 and 2.35, respectively), and musculoskeletal diseases and cardiovascular diseases (PR and OR values were 1.46 and 2.22, respectively). The largest binomial comorbidity group involved musculoskeletal diseases and neurological and sensory organ diseases, accounting for 5.4% (25/465) of the comorbid workers. Conclusion Among the self-reported diseases of manufacturing workers, musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases are more common. Musculoskeletal diseases and neurological and sensory organ diseases are the most common in all comorbidities. Musculoskeletal diseases, cardiovascular diseases, and neurological and sensory organ diseases are associated with occupational injuries. In the prevention and control of occupational injuries, joint prevention strategies targeting multiple diseases should be strengthened.

Vitiligo， a skin pigmentation disorder caused by the loss of melanocytes in the basal layer of the skin， is manifested as creamy white or ivory white pigmented islands on the head， face， hair， areola， genitals， mucous membranes and traumatic areas with distinct borders， seriously affecting the patient’s social， physical， and mental health. The disease has attracted wide attention in the medical circle as a difficult aesthetic dermatosis with an increasing prevalence year by year. There are still blind spots in the hypotheses that autoimmunity， melanocyte autophagy， oxidative stress， autocytotoxicity， neurohumors， and genetic and environmental factors are associated with the pathogenesis of this disease. The commonly used Western medical therapies， including glucocorticoids， small-molecule antagonists， calcium-regulated neurophosphatase inhibitors， biologics， vitamin D derivatives， phototherapy， and surgery are flawed with side effects and prone to recurrence. Traditional Chinese Medicine （TCM） can treat vitiligo via a wide range of pathways and targets， with definite effects and low adverse reactions. Studies have demonstrated that TCM can promote autophagy of melanocytes and protect them from oxidative stress. However， there are few systematic summaries of the signaling pathways in the TCM treatment of vitiligo. Therefore， this paper introduces the main signaling pathways involved in the TCM treatment of vitiligo by reviewing the relevant articles published at home and abroad in recent years. Specifically， the signaling pathways include the molecular hydrogen-activated nuclear factor erythroid-related factor 2 （Nrf2）， tyrosine kinase receptor （c-Kit）， nuclear transcription factor-κB （NF-κB）， Janus tyrosine protein kinase （JAK）， mitogen-activated protein kinase （MAPK）， phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）， and adenosine monophosphate-activated protein kinase （AMPK） signaling pathways.

Objective:To investigate the distribution of iron deposition in the substantia nigral (SN) subregions on quantitative susceptibility mapping (QSM) and the change of swallow tail sign (STS) in patients with relapsing-remitting multiple sclerosis (RRMS) of different disease stages.Methods:The clinical and imaging data of 53 patients with RRMS (case group) diagnosed at the First Hospital of Chongqing Medical University from November 2019 to December 2021 were retrospectively analyzed. The case group was divided into 0-5 years subgroup, 6-10 years subgroup, and >10 years subgroup according to the disease duration; another 37 age-and gender-matched healthy volunteers were recruited as the control group during the same period. All subjects underwent MRI and QSM reconstruction. First, the SN was divided into four subregions: rostral anterior-SN (aSNr), rostral posterior-SN (pSNr), caudal anterior-SN (aSNc), and caudal posterior-SN (pSNc) on the QSM, and the quantitative susceptibility value (QSV) of each subregion was measured, and then the STS of the SN was observed and scored on the susceptibility weighted imaging (SWI) generated by post-processing. ANOVA was used to compare the differences in the QSV of each subregion of SN among the groups, and the probability of abnormal STS was compared using the χ 2 test. Spearman′s test was used to analyze the correlation between the QSV of each subregion of SN and the STS score. Results:The differences in QSV of aSNr, pSNr, aSNc, and pSNc were statistically significant among the 0-5 years subgroup, 6-10 years subgroup,>10 years subgroup of RRMS patients and the control group ( P<0.05). The QSV of aSNr, pSNr, and aSNc in 0-5 years subgroup was higher than those in the control group ( P was 0.039, 0.008, 0.039, respectively). The QSV of aSNr, aSNc, and pSNc in the 6-10 years subgroup were higher than those in the 0-5 years subgroup ( P was <0.001, 0.020, 0.015, respectively). The QSV of the aSNc, pSNc in >10 years subgroup were lower than those in the 6-10 years subgroup ( P=0.037, 0.006). The QSV of aSNr, pSNr in >10 years subgroup were higher than those in the control group ( P was <0.001, 0.001). There were 7 cases of abnormal STS in the 0-5 years subgroup, 11 cases in the 6-10 years subgroup, 12 cases in >10 years subgroup, and 9 cases in the control subgroup, and there was a statistically significant difference in the probability of abnormal STS among the subgroups of the RRMS patients and the control subgroup (χ 2=16.20, P=0.011). Both the scores of STS in the 6-10 years subgroup and >10 years group were positively correlated with the QSV in pSNc ( r s=0.65, P=0.006; r s=0.48, P=0.045). Conclusions:In RRMS patients, SN iron deposition is concentrated on aSNr, pSNr, and aSNc in the 0-5 years subgroup and on aSNr, aSNc and pSNc in the 6-10 years subgroup. The QSVs of all SN subregions have a downward trend in >10 years subgroup compared with that in the 6-10 years subgroup. Both the QSVs of the pSNc in the 6-10 years group and >10 years group are positively related to STS scores. These help explore the potential progression pattern of SN iron deposition in RRMS patients and the cause of abnormal STS in RRMS patients.

Epilepsy is a long-term, chronic, recurrent, multi-factorial, multi-symptomatic nervous system disease, and was caused by abnormal discharge of brain neurons. Etiology can cause irreversible brain dysfunction and even death. There are about 6.5 million children with epilepsy in China, with incidence rate twice that of adult, presenting serious threaten to children's growth and development. Vitamin D has been well-known for crucial importance to development of nervous, skeletal, and immune system. Studies have found that pediatric epilepsy as well as other neurological diseases were closely related with vitamin D deficiency. First, a large number of studies have shown that vitamin D in children with epilepsy is affected by epilepsy itself; second, the use of anti-seizure medicines can alter metabolism of vitamin D by inducing cytochrome oxidases; third, the inducement was concerned to varieties, combination and duration of anti-seizure medicines; fourth, it was expected that supplement of vitamin D during antiepileptic treatment would guarantee an improvement of treating given that anti-seizure medicines may lead to deficiency of vitamin D. Large numbers of researches have reported on the correlation ship between pediatric epilepsy and vitamin D. However, there is still a lack of systematic review. This article aims to retrospect the research progress of relationship between pediatric epilepsy and vitamin D, and provide valuable feedbacks on further treatment of pediatric epilepsy.

Objective To systematically evaluate the risk factors for pulmonary infection in patients with lung cancer after chemotherapy.Methods CNKI,Wanfang Data,VIP,PubMed,Embase,and the Cochrane Library were searched from inception to October 2022 to collect case-control studies and cohort studies about risk factors for pulmonary infection in patients with lung cancer after chemotherapy.Two researchers independently conducted literature screening,data extraction,and quality assessment.Rev Man 5.3 software was used for Meta-analysis.Results A total of 15 literatures were included,including 3960 patients with lung cancer after chemotherapy.Meta analysis results showed that age≥60 years,smoking history,drinking history,hypertension,diabetes mellitus,atelectasis,hypoproteinaemia,TNM staging of stage Ⅲ-Ⅳ,central lung cancer,small cell lung cancer,invasive operation,Karnofsky performance status score＜80 points before chemotherapy,combined chemotherapy drugs,duration of chemotherapeutic ?2 weeks,white blood cell count≤3.0×109/L after chemotherapy,albumin＜30g/L after chemotherapy,and hospital stay>20 days were risk factors for pulmonary infection in patients with lung cancer after chemotherapy(P＜0.05).Conclusion There were many risk factors for pulmonary infection in patients with lung cancer after chemotherapy.Prevention and control measures should be taken based on the related risk factors to reduce the incidence rate of pulmonary infection.

Objective:To investigate the changes in structural brain network topology and microstructural damage in patients with multiple sclerosis (MS), and to analyze its correlation with cognitive function.Methods:Clinical and imaging data of 114 patients with MS (MS group) diagnosed in the First Affiliated Hospital of Chongqing Medical University from May 2021 to September 2022 were analyzed retrospectively. In addition, 71 volunteers were recruited as a healthy control group (HC group) during the same period. All subjects were performed on cognitive assessment and 3D-T 1 magnetization-prepared rapid gradient echo, 3D-fluid-attenuated inversion recovery, and diffusion kurtosis imaging (DKI) scans. GRETNA software was used to obtain network topology attributes, and global attributes included global efficiency, local efficiency, and small-world attributes [clustering coefficient(Cp), shortest path length(Lp), normalized Cp(γ), normalized Lp, and small-world index (σ)]. Local attributes included betweenness centrality (BC), degree centrality (DC), nodal clustering coefficient (NCp), nodal efficiency, nodal local efficiency (NLe) and nodal shortest path length. The DKI parameter map generated by the post-processing software was used to extract the DKI parameter values of the brain region with abnormal local topology of the brain structure network. The differences of global attributes, local attributes and DKI parameter values [kurtosis fractional anisotropy (KFA), mean kurtosis (MK), radial kurtosis (RK) and axial kurtosis (AK) values] were analyzed by independent sample t-test or Mann-Whitney U test, and corrected by false discovery rate (FDR). Spearman or Pearson correlation analysis was used to evaluate the correlation between abnormal brain structure network topology attributes and cognitive scale scores in the MS group. Results:Both the MS group and the HC group structure network showed small-world attributes, and the γ and σ values of the MS group were significantly lower than those in the HC group (FDR correction, P<0.05). Compared with the HC group, BC, DC, NCp and NLe broadly reduced in the MS group, mainly involving in bilateral frontal, temporal, precuneus, amygdala, and thalamus (FDR correction, P<0.05). After FDR correction, compared with the HC group, the KFA, MK, RK and AK values of 23 brain regions with abnormal local attributes of the network in the MS group were significantly changed in several brain regions (FDR correction, P<0.05). The correlation analysis showed, after FDR correction, the DC value of the right putamen in MS patients was positively correlated with the digit span test (DST) scores ( r=0.318 ,P=0.001). Conclusion:There are extensive changes in the structural brain network of MS patients, accompanied by varying degrees of microstructural damage, and the reduction of degree centrality in the basal ganglia putamen region is associated with cognitive impairment.

Objective:To explore the method of establishing a modified demyelination and myelination regeneration model induced by dicyclohexanone oxalyl dihydrazone (CPZ) in mice with multiple sclerosis (MS), and to analyze the image markers of demyelination and myelination regeneration in mouse MS model.Methods:After the intragastrically administered with sodium carboxymethyl cellulose (CMCNa) for one week, a total of 30 C57BL/6 male mice were randomly divided into the control group ( n=10), the demyelination group ( n=10), and the remyelination group ( n=10). The mice of the control group were immediately performed MR scanning and pathological specimen obtaining; the mice in the demyelination group were administered with intragastrical CPZ-CMCNa once a day for 6 weeks for inducing demyelination, then received MR scanning and specimen obtaining with the same protocols used in control group; the mice in the remyelination group were administered with intragastrical CPZ-CMCNa once a day for six weeks for demyelination, then CPZ was withdrawn and normal diet was given for another four weeks. Then MR scanning and specimen obtaining were performed with the same protocols used in the other two groups. Regions of interest (ROIs) were set at the rostrum of corpus callosum (rCC), the bilateral normal appearing white matters (NAWM) of the rostrum of corpus callosum, and the bilateral cerebral cortex (Cx). The normalized T 2WI (T 2-normalized), fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) values were compared among the three groups by one-way ANOVA. Results:The demyelination and remyelination mice model of MS were successfully established. The T 2-normalized values of rCC in control group, demyelination group and remyelination group were 0.47±0.03, 0.72±0.04, 0.54±0.04, respectively, with statistically significant difference found ( F=90.511, P<0.05). Post-hoc multiple comparisons showed significant differences among those groups ( P<0.05). There was no significant difference of T 2-normalized value in NAWM and Cx among the three groups ( P>0.05). Moreover, there were significant differences in the FA values (0.36±0.04, 0.29±0.03, and 0.32±0.05), the MD values [(0.572±0.015), (0.598±0.034), and (0.626±0.043)×10 -3 mm 2/s], the AD values [(0.79±0.04), (0.77±0.06), and (0.83±0.04)×10 -3 mm 2/s], and the RD values [(0.46±0.02), (0.51±0.03), and (0.53±0.05)×10 -3 mm 2/s] of rCC of the control group, the demyelination group, and the remyelination group (all P<0.05). Significant difference was found in FA values between the demyelination group and the control group ( P<0.05), and in MD values between the remyelination group and the control group ( P<0.05), as well as in AD values between the remyelination group and the demyelination group ( P<0.05). There were also significant differences in RD values between the remyelination group and the control group, and the demyelination group and the control group (all P<0.05). However, no significant difference was found in all diffusion tensor imaging (DTI) metrics of NAWM and Cx among the three groups (all P>0.05). The LFB-eosin staining showed that the myelin sheath of rCC was lost in the demyelination group, and the rCC was partially regenerated and repaired in the remyelination group. Conclusion:The modified CPZ-CMCNa model can selectively induce demyelination and remyelination of rCC, and the changes of demyelination and remyelination of rCC in the modified CPZ-CMCNa model can be quantitatively detected by T 2WI combined with DTI, which might provide related theoretical basis for the study on dynamic changes of MS lesions.

In recent years, monoclonal antibodies (mAbs) have been developing rapidly and widely used in fields of tumor, immunity, blood and other systemic diseases. Global share of mAbs in prescription drug market had reached up to $ 140 billion, 15.3% by 2019. As macromolecule proteins, with special structures and physiological properties, mAbs have great differences in absorption, distribution, metabolism and excretion in vivo compared with small molecule drugs, including characteristics of relatively large molecular mass, high specificity and selectivity in target combination, non-linear pharmacokinetics, time dependence, long half-life and so on. Fully understanding of these special pharmacokinetic characteristics shall effectively guide analysis of mAbs. Meanwhile, the particularity and complexity of disposal mechanism in organisms greatly increase the difficulty of biological detection. As a result, it is necessary to establish exclusive, sensitive, accurate and repeatable quantification methods in biological samples. This article focuses on pharmacokinetic characteristics, main analytical methods, and methodology validation of quantification for mAbs in biological samples, expounding with comparisons of small molecular drugs, so as to prompt development of pharmacokinetic study of this kind of drugs.

OBJECTIVE： To systematically evaluate the efficacy and safety of Endostar combined with gemcitabine and cisplatin in the treatment of non-small cell lung cancer （NSCLC）， and to provide evidence-based reference for clinical drug use. METHODS： Retrieved from Cochrane Library， PubMed， Embase， ClinicalTrials， CNKI， Wanfang and VIP database， randomized controlled trials （RCT） about Endostar combined with gemcitabine and cisplatin（trial  group） vs. gemcitabine combined with cisplatin （control group） for NSCLC were collected. After literature screening， data extraction and quality evaluation with Cochrane 5.1.0 bias risk evaluation tool and Jadad scale， Meta-analysis was performed by using Rev Man 5.3 software. RESULTS： A total of 27 RCTs were included， involving 1 646 patients. Results of Meta-analysis showed that response rate [RR＝1.67， 95％CI（1.48，1.89），P＜0.000 01] and clinical benefit rate [RR＝1.26， 95％CI （1.20， 1.33），P＜0.000 01] of trial group were significantly higher than those of control group. There was no statistical significance in the incidence of leucopenia [RR＝0.98，95％CI（0.88， 1.11），P＝0.79]， thrombocytopenia [RR＝1.07， 95％CI（0.91， 1.26），P＝0.39] and gastrointestinal reaction [RR＝1.01， 95％CI（0.90， 1.14），P＝0.85] between 2 groups. CONCLUSIONS： Endostar combined with gemcitabine and cisplatin can improve therapeutic efficacy of NSCLC patients， without increasing the incidence of ADR.