Background: In Malaysia, the most common soiltransmitted helminth infections are A. lumbricoides, T. trichiura and hookworms. However, as there have been no extensive surveys on these infections, it is difficult to estimate with certainty the current overall incidence of infection with soil-transmitted helminths (STHs) among the Malaysian population including the Orang Aslis. Materials and Methods: A study was conducted to determine the infection rate of soil-transmitted helminths and intestinal protozoa among the Jehai Orang Aslis (Aborigines). The study was conducted between December 2005 and August 2006, in four Jehai villages of Perak State, Malaysia. A total of 175 stool samples was collected and personal identification such as name, age, household identification, and date of collection were recorded on the spot during collection. Faecal smears were stained with Trichrome for protozoa cysts and trophozoites and the modified Ziehl-Neelsen acid-fast method for the oocyst of Cryptosporidium and Isospora. Wet mounts with tincture of iodine of both stool samples (10% formalin and PVA) were also examined to detect cysts, ova and larva of intestinal helminths. Results: The prevalence rates of Trichuris trichiura, Ascaris lumbricoides and hookworm among the Jehai were 70.8%, 24.0%, and 10.9% respectively. The prevalence of Entamoeba coli, Entamoeba histolytica, Giardia intestinalis, Blastocystis hominis, and microsporidium was 40.6%, 33.7%, 25.7%, 91.4%, and 27.4% respectively. The difference in prevalence rates among the different age-groups and sex were found not significant. Children aged 0-9 years old had the highest prevalence rate of intestinal parasites and only 2 (1.1%) were free of any intestinal parasites. Conclusion: Intestinal parasitic infections were therefore still common among these people. Children aged 0-9 years old were found to have the highest infection rate of all the intestinal parasites examined. Further investigations are needed to determine more specific transmission of these infections, so that an attempt to control these infections can be made.

Objective To evaluate early skeletal muscle myopathy with contrast‐enhanced ultrasound ( CEUS) in diabetic rabbits . Methods Alloxan ( 100 mg/kg ) was given intravenously to 11 New Zealand w hite rabbits . Another 5 age‐matched normal rabbits were used as controls .CEUS was performed at baseline and 1 ,2 ,3 months after the establishment of diabetes ,respectively . T hen ,skeletal muscle samples were obtained for pathological observation . Additionally ,the diabetic rabbits were divided into 3 groups according to their pathologic findings : mild , moderate , and severe myopathy group . M icro‐perfusion parameters ,including artery‐to‐vein transit time ( A‐VT T ) ,muscle tissue mean transit time ( M‐M T T ) and muscle tissue peak intensity ( M‐PI) were calculated . Results T he diabetic rabbits exhibited a lower body weight increase and a decrease of muscle thickness .Plasma levels of triglyceride ,cholesterol and creatinine were significantly higher in diabetic group than those in control group ( P ＜0 .05) . T he A‐V T T and M‐M T T values of the diabetic rabbits significantly increased over time ( all P ＜ 0 .05 ) ,whereas M‐PI value significantly decreased compared with that in control group ( P ＝ 0 .013 ) . Besides ,the A‐V T T value was significantly higher in severe myopathy group than that in mild group ( P ＝0 .001) . T he M‐M T T values in both moderate and severe groups were significantly higher w hen compared to that in mild group ( all P ＜0 .05) . T he A‐VT T and M‐M T T values were correlated with the severity of diabetic myopathy( e＝0 .898 , P ＜0 .001 ;e＝ 0 .527 , P ＝ 0 .01 ) . Conclusions Diabetic rabbits have defective skeletal muscle micro‐ perfusion in the early stage . CEUS can quantify impaire muscle microcirculation ,and is a valuable tool for assessment of diabetic myopathy .

Objective To observe the effects of percutaneous coronary angioplasty and stent implantation in periopera-tive nursing intervention effect. Methods From January 2012 to January 2014 year in our hospital, 64 cases of percuta-neous transluminal coronary angioplasty and stent implantation were observed, according to different nursing patients were randomly divided into intervention group (n=33﹚ and the control group(n=32﹚,the control group adopted random symptomatic care, the intervention group focused on the implementation of perioperative nursing, included preopera-tive preparation,and psychological nursing,observation and nursing cooperation during the operation, postoperative complications and nursing, observation of life, patients,the SAS score, SDS score, the incidence and nursing satisfac-tion, complications were compared between the two groups before and after treatment. Results After treatment, two groups of SAS, SDS scores were significantly decreased than before treatment(P<0.05﹚, and the SAS, SDS scores of pa-tients in the intervention group were lower than control group (P<0.05﹚. After interventional,nursing satisfaction rate was 93.75% in the intervention group,nursing satisfaction rate was 71.88%,was significantly higher than the con-trol group (χ2=6.348,P<0.05﹚. After intervention, the incidence of complications of intervention group was 12.50%, the control group was 31.25%, the incidence of postoperative complications of the intervention group was significantly lower than the control group(P<0.05﹚. Conclusion Percutaneous coronary angioplasty and stent implantation of perioper-ative nursing intervention measures can improve nursing satisfaction, improve the patients' negative psychological shape body, reduce the incidence of complications, is conducive to the recovery of patients with the disease.

Objective To exploring the correlation between serum miR-195 and metabolic associated fatty liver disease(MAFLD)in type 2 diabetes mellitus(T2DM)patients.Methods A total of 79 patients with T2DM who were treated in the Endocrinology Department of Gansu Provincial People's Hospital were enrolled in this study from October 2022 to August 2023.They were divided into simple T2DM(n=37)and MAFLD group(MAFLD,n=42)according to whether they were complicated with MAFLD.Meanwhile,34 healthy individuals who underwent physical examinations were selected as the normal control(NC)group.Results Compared with the NC group,FPG,HbA1c and HOMA-IR increased,while HDL-C decreased in T2DM and MAFLD group(P<0.05).The TG and hs-CRP levels were higher in MAFLD group than in NC and T2DM group(P<0.05).The serum miR-195 expression decreased sequentially(P<0.05),while FAS increased sequentially in NC,T2DM,and MAFLD group(P<0.05).Spearman correlation analysis showed that miR-195 was negatively correlated with FPG,HOMA-IR,hs-CRP,and FAS(P<0.05).Multiple linear regression analysis showed that HOMA-IR and FAS were the influencing factors for serum miR-195.Conclusions Down-regulation of serum miR-195 expression in patients with T2DM combined with MAFLD may be by glucose and lipid metabolism,IR and inflammatory response.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Objective:To investigate the correlation between the level of thyrotropin receptor antibody(TRAb) and bone turnover markers(BTMs) in the patients with newly-diagnosed Graves′ disease(GD).Methods:The clinical data of GD patients who were newly-diagnosed in the First Affiliated Hospital of Zhengzhou University from October 2016 to June 2021 were collected, including free triiodothyronine(FT 3), free thyroxine(FT 4), thyroid stimulating hormone, thyroid related antibodies, N-terminal procollagen of type I collagen(PINP), N-terminal osteocalcin(N-MID), β-cross-linked C-telopeptide of type I(β-CTX), blood lipid and renal function, etc. Results:There were 618 GD patients with an average age of(43.7±13.2) years(male∶female=1∶1.99). The PINP and β-CTX level in male GD patients were significantly higher than those in female(all P<0.05). Spearman correlation analysis showed that PINP, N-MID and β-CTX were positively correlated with FT 3, FT 4, TRAb, serum calcium and serum phosphorus; and negatively correlated with body mass index and low density lipoprotein cholesterol(all P<0.05). Linear regression analysis showed that TRAb was positively correlated with lg-PINP, lg-N-MID and sqrt-β-CTX in the univariate model of total GD patients( β were 0.006, 0.005, and 0.006, respectively; all P<0.001); positive correlation remained after adjusting for thyroid function(all β=0.004, all P<0.001); and for multiple confounding factors(model 3 and 4, all P<0.05). Results of univariate and adjusted thyroid function models with GD in different genders were consistent with the total patients(all P<0.05). Conclusion:TRAb is a risk factor for accelerated bone turnover in GD patients which is independent of thyroid function.

Background: Long coronavirus disease 2019 (COVID-19) in recovered patients (RPs) is gradually recognized by more people. However, how long it will last and the underlining mechanism remains unclear. Methods: We conducted a prospective follow-up study to evaluate the long-term symptoms and clinical indices of RPs at one-year after discharge from Union Hospital, Wuhan, China between December 2020 to May 2021. We also performed the 16S rRNA sequencing of stool samples from RPs and healthy controls (HCs) and analyzed the correlation between the gut microbiota and long COVID-19. Results: In total, 187 RPs were enrolled, among them, 84 (44.9%) RPs reported long COVID-19 symptoms at one-year after discharge. The most common long-term symptoms were cardiopulmonary symptoms, including chest tightness after activity (39/187, 20.9%), palpitations on exercise (27/187, 14.4%), sputum (21/187, 11.2%), cough (15/187, 8.0%) and chest pain (13/187, 7.0%), followed by systemic symptoms including fatigue (34/187, 18.2%) and myalgia (20/187, 10.7%), and digestive symptoms including constipation (14/187, 7.5%), anorexia (13/187, 7.0%), and diarrhea (8/187, 4.3%). Sixty-six (35.9%) RPs presented either anxiety or depression (42/187 [22.8%] and 53/187 [28.8%] respectively), and the proportion of anxiety or depression in the long symptomatic group was significantly higher than that in the asymptomatic group (41/187 [50.6%] vs. 25/187 [24.3%]). Compared with the asymptomatic group, scores of all nine 36-Item Short Form General Health Survey domains were lower in the symptomatic group (all P < 0.05). One hundred thirty RPs and 32 HCs (non-severe acute respiratory syndrome coronavirus 2 infected subjects) performed fecal sample sequencing.Compared with HCs, symptomatic RPs had obvious gut microbiota dysbiosis including significantly reduced bacterial diversities and lower relative abundance of short-chain fatty acids (SCFAs)-producing salutary symbionts such as Eubacterium_hallii_group, Subdoligranulum, Ruminococcus, Dorea, Coprococcus, and Eubacterium_ventriosum_group. Meanwhile, the relative abundance of Eubacterium_hallii_group, Subdoligranulum, and Ruminococcus showed decreasing tendencies between HCs, the asymptomatic group, and the symptomatic group. Conclusion This study demonstrated the presence of long COVID-19 which correlates with gut microbiota dysbiosis in RPs at one-year after discharge, indicating gut microbiota may play an important role in long COVID-19.