Objective To summarize the clinical characteristics of 2 cases of styloid-carotid syndrome(SCS)and review the literature to enhance understanding of the disease.Methods A retrospective analysis was conducted on the clinical manifestations,auxiliary examinations,and diagnosis and treatment of 2 patients with SCS admitted to the Neurology Department of Kaifeng Central Hospital.Additionally,relevant literature was searched through domestic and foreign databases such as PubMed,WOS,Embase,CNKI and VIP.The clinical characteristics of SCS were summarized based on the literature results.Results The 2 cases were diagnosed as transient cerebral ischemia(TIA)combined with SCS through head and neck CT angiography(CTA)and styloid process CT.Apart from the 2 cases treated in our hospital,a total of 11 cases of SCS have been reported in Chinese and English literature up to October 2023.Among the 13 cases,11 cases(84.6%)started with episodic TIA symptoms,and 11 cases(84.6%)had obvious inducing factors related to specific head position changes.Common clinical manifestations included unilateral limb weakness with or without sensory disturbance(10 cases,76.9%),slurred speech(7 cases,53.8%),unilateral limb sensation disorder(4 cases,30.7%),syncope(3 cases,23.1%)and amaurosis(2 cases,15.4%).All 13 cases underwent 64-row head and neck CTA examination,and 6 cases(46.2%)dynamically observed the changes in blood flow velocity through examinations such as transcranial Doppler ultrasound(TCD),cervical vascular ultrasound,and digital subtraction angiography(DSA).All patients were followed up for more than 3 months;and 10 cases(76.9%)achieved clinical cure after treatment,of which 8 cases underwent styloid process shortening surgery;3 cases(23.1%)achieved clinical symptom improvement after treatment.Conclusions For patients with recurrent TIA and/or cerebral infarction,it is necessary to identify whether there are inducing factors related to specific body position changes.For patients highly suspected of SCS,routine examinations such as styloid process CT and 64-row head and neck CTA should be performed,and if necessary,whole brain DSA,dynamic TCD and/or carotid ultrasound should be conducted to guide the diagnosis and treatment.When non-surgical treatment is ineffective,radical styloid process truncation can be considered as a treatment option.

Aim To investigate the effect of vanillin on the regulation of cyclic guanylate adenylate synthetase(cGAS)/stimulator of interferon gene(STING)signa-ling pathway on hepatic tissue injury in rats with intra-hepatic cholestasis(IC).Methods SD rats were randomly divided into normal group,IC group,vanillin group,cGAS overexpression group,and vanillin+cGAS overexpression group,with continuous adminis-tration for seven days.The body weight,liver weight and liver to body weight ratio of rats were measured.Liver function(ALT,AST,ALP,LDH),IC(TBIL,TBA)and liver fibrosis(HA,LN,PC Ⅲ)index were determined by ELISA.Liver pathology and fibrosis were observed using HE and Masson staining,and col-lagen volume fraction was calculated.The expression of cGAS/STING pathway related proteins in liver tissue was detected by Western blot.Results Vanillin could improve liver pathology and fibrosis,increase body weight,and decrease liver weight,ALT,AST,ALP,LDH,TBIL,TBA,HA,LN,PC Ⅲ,collagen volume fraction,cGAS,STING protein in IC rats(P＜0.05).Overexpression of cGAS could reverse the effects of vanillin on the above indicators in IC rats(P＜0.05).Conclusions Vanillin may improve liver function,IC,liver fibrosis,and liver tissue damage in IC rats by downregulating the cGAS/STING signaling pathway.

Objective: To investigate the distribution of blood pressure and analyze the associated factors of blood pressure of the elderly with type 2 diabetes in Jiangsu Province. Methods: The elderly over 60 years old participants with type 2 diabetes in the communities of Huai'an City and Changshu City, Jiangsu Province were selected in this study. They were divided into two groups: taking antihypertensive drugs and not taking antihypertensive drugs. The demographic characteristics, such as age and sex, and relevant factors were collected by questionnaire. The systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured by physical examination. The percentile of SBP and DBP in each age group of men and women were described. The kernel density estimation curve was used to show the blood pressure distribution. The trend of blood pressure with age was fitted by locally weighted regression. The logistic regression model was used to analyze relevant factors of blood pressure. Results: A total of 12 949 participants were included in this study, including 7 775 patients in the antihypertensive drug group and 5 174 patients in the group without antihypertensive drugs. The SBP of participants was concentrated at 140-160 mmHg, and their DBP was concentrated at 75-85 mmHg. There were significant differences in the distribution of blood pressure among the subgroups of body mass index (BMI) and rural areas whether taking antihypertensive drugs and not. For participants aged under 80 years old, the SBP showed an increasing trend with age and the DBP showed a decreasing trend with age. Age, BMI ≥24 kg/m², fasting blood glucose ≥7.0 mmol/L, living in rural areas and no smoking were influencing factors of the elevated SBP; BMI ≥24 kg/m², male, living in rural areas, no smoking, drinking alcohol and not receiving drug hypoglycemic treatment were influencing factors of the elevated DBP. Conclusion: The SBP of older diabetic adults in Jiangsu Province is at a high level, and the distribution of blood pressure is significantly different between men and women in taking antihypertensive drugs group. The SBP presents a rising trend and the DBP is decreasing at the age of 60-80 years. The blood pressure level of this population are mainly affected by age, BMI, urban and rural areas, smoking.
Adult ; Aged ; Humans ; Male ; Female ; Middle Aged ; Aged, 80 and over ; Blood Pressure/physiology* ; Diabetes Mellitus, Type 2/epidemiology* ; Antihypertensive Agents/therapeutic use* ; Smoking ; Body Mass Index ; Hypertension/epidemiology*

Objective: To investigate the relationship between socioeconomic status (SES) and all-cause mortality in patients with type 2 diabetes. Methods: A total of 17 553 patients with type 2 diabetes were recruited under the National Basic Public Health Service Project in Changshu county, Qingjiangpu district, and Huai'an district in Huai'an city of Jiangsu province as participants. Latent class analysis was applied to classify the individuals based on five socioeconomic indicators. Then, Cox proportional hazards regression models were used to estimate the associations of different levels of SES with all-cause mortality, and stratified analysis was performed according to age and area. Results: Among 100 529.08 person-years of the fo1low-up, the median follow-up time was 5.7 years, and 1 829 deaths occurred during the follow-up period. According to the relevant results of the latent class model, the model of the "three classes" was the best. The related population was then divided into low SES (8 256 people, 47.0%), medium SES (4 427 people, 25.2%), and high SES groups (4 870 people, 27.8%). Compared to patients with high SES, the multivariate-adjusted hazard ratio (95%CI) of all-cause mortality associated with low SES for males and females were 1.84 (1.53-2.21) and 1.41 (1.51-1.72), respectively. Stratified analysis showed that the hazard ration (95%CI) of all-cause mortality associated with low SES for males and females were 1.99 (1.12-2.95) and 2.01 (1.20-3.23), respectively, in people younger than 60 years old, and were 1.90 (1.57-2.31) and 1.40 (1.13-1.73) in people over 60 years old. The HR values (95%CI) for all-cause mortality associated with low SES for the male and females were 1.54 (1.17-2.04) and 1.27 (1.02-1.59) in the urban population with 2.11 (1.55-2.85) and 2.64 (1.17-3.35) in rural population, respectively. Conclusions: Lower SES increased the risk of all-cause mortality in type 2 diabetic patients, which is more significant in younger and rural populations.
United States ; Female ; Humans ; Male ; Middle Aged ; Latent Class Analysis ; Diabetes Mellitus, Type 2 ; Prospective Studies ; Social Class ; Income

OBJECTIVE: To investigate the short-term clinical effect of lumbar nerve root canal injection under X-ray angiography in the treatment of sciatica. METHODS: The clincal data of 78 patients with sciatica underwent lumbar nerve root canal injection under X-ray angiography from December 2017 to February 2020 was retrospectively analyzed. Including 31 males and 47 females, aged from 22 to 88 years old with a median of 65 years. There were 55 cases of lumbar disc herniation and 23 cases of lumbar spinal stenosis, the course of disease ranged from 1 to 8 weeks with a median of 3 weeks. There were 71 cases of single segment disc herniation or stenosis, including L_3,4 of 5 cases, L_4,5 of 61 cases, L₅S₁ of 5 cases, and 7 cases of multisegment herniation or stenosis. The pain visual analogue scale (VAS) was recorded and Macnab was used to evaluate the clinical effect. RESULTS: All patients completed standardized treatment without serious adverse reactions. VAS were (3.21±0.76) scores immediately after treatment, (2.89±0.33) scores 1 hour after treatment, (1.80±0.27) scores 6 hours after treatment, (1.10±0.20) scores 24 hours after treatment, (2.53±0.35) scores 1 week after treatment and (4.27±0.36) scores 1 month after treatment. There were significant differences in VAS between before treatment(7.83±0.56) and each time period after treatment(P<0.05). According to Macnab low back pain evaluation standard, 42 cases were effective, 34 cases were markedly effective and 2 cases were ineffective within 24 hours after treatment, with an effective rate of 97.4%;38 cases were effective, 25 cases were markedly effective, 15 cases were ineffective within one week after treatment, the effective rate was 80.0%;32 cases were effective, 22 cases were markedly effective, 24 cases were ineffective within one month after treatment, the effective rate was 69.2%. CONCLUSION The short-term clinical effect of nerve root canal injection under X-ray radiography in the treatment of sciatica is good and it is an effective method to relieve sciatica.
Adult ; Aged ; Aged, 80 and over ; Angiography ; Dental Pulp Cavity ; Female ; Humans ; Intervertebral Disc Displacement/diagnostic imaging* ; Lumbar Vertebrae/diagnostic imaging* ; Male ; Middle Aged ; Retrospective Studies ; Sciatica/drug therapy* ; Treatment Outcome ; X-Rays ; Young Adult

Chloroquine (CQ) phosphate has been suggested to be clinically effective in the treatment of coronavirus disease 2019 (COVID-19). To develop a physiologically-based pharmacokinetic (PBPK) model for predicting tissue distribution of CQ and apply it to optimize dosage regimens, a PBPK model, with parameterization of drug distribution extrapolated from animal data, was developed to predict human tissue distribution of CQ. The physiological characteristics of time-dependent accumulation was mimicked through an active transport mechanism. Several dosing regimens were proposed based on PBPK simulation combined with known clinical exposure-response relationships. The model was also validated by clinical data from Chinese patients with COVID-19. The novel PBPK model allows in-depth description of the pharmacokinetics of CQ in several key organs (lung, heart, liver, and kidney), and was applied to design dosing strategies in patients with acute COVID-19 (Day 1: 750 mg BID, Days 2-5: 500 mg BID, CQ phosphate), patients with moderate COVID-19 (Day 1: 750 mg and 500 mg, Days 2-3: 500 mg BID, Days 4-5: 250 mg BID, CQ phosphate), and other vulnerable populations (.., renal and hepatic impairment and elderly patients, Days 1-5: 250 mg BID, CQ phosphate). A PBPK model of CQ was successfully developed to optimize dosage regimens for patients with COVID-19.

Artificial intelligence (AI) represents the latest wave of computer revolution and is considered revolutionary technology in many industries including healthcare. AI has been applied in medical imaging mainly due to the improvement of computational learning,big data mining,and innovations of neural network architecture. AI can improve the efficiency and accuracy of imaging diagnosis and reduce medical cost;also,it can be used to predict the disease risk. In this article we summarize and analyze the application of AI in musculoskeletal imaging.
Artificial Intelligence ; Humans ; Musculoskeletal System ; diagnostic imaging ; Neural Networks, Computer

Objective The aim is to investigate the association between body mass index (BMI) and risk of all-cause mortality among patients with type 2 diabetes. Methods A total of 17 638 patients with type 2 diabetes registered in the management of National Basic Public Health Services in two areas of southern and northern Jiangsu were recruited. Cox proportional risk regression model was used to calculate the hazard ratio(HR) value and 95% confidence interval (95% CI) of different BMI groups in the follow-up period. Results The subjects were followed up for a total of 77 451 person-years with an average duration of 4.39 years, and 1 274 patients died during the follow-up period. The number of death in low weight group (BMI<18.5 kg/m2), normal weight group (18.5 kg/m2≤BMI<24 kg/m2), overweight (24 kg/m2≤BMI<28 kg/m2) and obese group (BMI≥28 kg/m2) were 39, 575, 484 and 176 respectively.The corresponding mortalities were 15.6%, 9.5%, 6.2% and 5.1%, respectively. Compared to normal weight group, the adjusted HR of all-cause mortality in low weight, overweight and obese group were 1.66 (95% CI: 1.20-2.30), 0.68 (95% CI: 0.61-0.77), 0.58 (95% CI: 0.48-0.68), respectively. Conclusions Low-weight patients have the highest risk of all-cause mortality compared with normal counterparts, while both overweight and obese people have a lower risk of death. Overweight and obesity may reduce the risk of all-cause mortality in type 2 diabetic patients.

Exosomes have many advantages as natural drug delivery carriers, but their application is limited by the inefficient loading of intracellular drugs (such as proteins and nucleic acids). In this study, mCherry, a red fluorescent protein, was used as the endogenous cargo target. Through gene modification of donor cells and fusion expression of membrane localization elements (PB, CAAX, Palm and CD63), mCherry was specifically sorted into exosomes through biogenesis. Results show that CD63 had the highest sorting efficiency, followed by Palm. PB and CAAX led enrichment of mCherry on the plasma membrane, but not in exosomes. The approach provides an alternative to facilitate packaging of cargo by exosomes and thus to increase the efficient delivery of endogenous protein drugs.
Drug Carriers ; Drug Delivery Systems ; Exosomes ; HEK293 Cells ; Humans ; Protein Transport