OBJECTIVETo emphasize early differential diagnosis from patients with hyperphenylalaninemia (HPA) and to evaluate the treatment and long-term outcome of patients with tetrahydrobiopterin synthase (BH4) deficiency in Northern Chinese population.

METHODSFrom 1992 to 2005, a total of 618 patients with HPA were diagnosed and/or cared for in our outpatient clinic. Urinary pterin analysis, detection of dihydropteridine reductase (DHPR) activity in blood, and then BH4 loading tests were carried out to differentiate BH4 deficiency in these patients from classical phenylketonuria. BH4 deficient patients were treated with BH4, levodopa and 5-hydroxytryptophane (5-HTP) immediately while the diagnosis was done to disease. Patientso blood phenylalanine levels, psychomotor and intelligence development were followed up.

RESULTSA total of 38 cases were diagnosed as BH4 deficiency, all of them were revealed as 6-pyruvoyl-tetrahydropterin synthase (PTPS) deficiency from the extremely decreased urine biopterin, normal DHPR activities and drop down of blood phenylalanine level to normal range within 4 to 8 hours after BH4 loading. The most common manifestations were progressively psychomotor and mental retardation to patients even after taking early dietary treatment. The patients were diagnosed and treated with drugs at the ages of 2.1 months to 13 years. With 4 patients died of pneumonia, 7 patients refused to treatment, only 27 patients were under treatment and followed up. The average full scale development or intelligence quotient (DQ/IQ) of patients who were treated within and after 6 months were 86+/- 10 or 66+/- 7 respectively. Development was not even in different aspects. A significant negative correlation was observed between the level of the DQ and the age of treatment commenced (r was -0.714, P< 0.01). Eleven patients experienced the extrapyramidal movement disorders, 3 of them combined with epilepsy. The extrapyramidal disorders were controlled by administration of levodopa.

CONCLUSIONThe differential diagnosis for BH4 deficiency should be carried out in all patients with HPA. PTPS deficiency is the most common form of BH4 deficiency in Northern Chinese population. The long-term outcome of these patients benefits from diagnosis and treatment with BH4, levodopa and 5-HTP as early as possible.

5-Hydroxytryptophan ; therapeutic use ; Asian Continental Ancestry Group ; genetics ; Biopterin ; analogs & derivatives ; deficiency ; therapeutic use ; Child, Preschool ; China ; Dihydropteridine Reductase ; blood ; Humans ; Infant ; Levodopa ; therapeutic use ; Phenylalanine ; blood ; Phenylketonurias ; drug therapy ; genetics ; metabolism ; Phosphorus-Oxygen Lyases ; deficiency ; genetics

Panax notoginseng contains triterpene saponins, flavonoids, amino acids, polysaccharides, volatile oil and other active components, which have the effects of promoting blood circulation, stopping bleeding, removing blood stasis, etc. This study summarized the herbal research, chemical constituents and main pharmacological activities of P. notoginseng, and based on the theory of Q-markers of traditional Chinese medicine, predicted and analyzed the Q-markers of P. notoginseng from the aspects of plant kinship, efficacy, drug properties, measurability of chemical components, etc. It was found that ginsenosides Rg_1, Re, and Rb_1 with specific content ratio, ginsenosides Rb_2, Rb_3, Rc, Rd, Rh_2, and Rg_3, notoginseng R_1, dencichine and quercetin could be used as potential Q-markers of P. notoginseng, which facilitated the formulation of quality standards reflecting the efficacy of P. notoginseng.
Panax notoginseng/chemistry* ; Ginsenosides/analysis* ; Saponins/analysis* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology* ; Panax/chemistry*

OBJECTIVETo determine distribution and mutation pattern of type P ATP7B gene mutation and to explore genotype and phenotype correlation in patients with Wilson's disease (WD).

METHODSSixty patients with WD from 57 no kinship families, 37 male and 23 female, were enrolled in this study. The age of onset ranged from 4.6 - 39 years, < or = 16 years in 55 patients. Some exons of ATP7B gene mutation were analyzed in patients with WD by using biochemical methods, polymerase chain reaction-single strand configuration polymorphism (PCR-SSCP), restriction fragment and DNA sequence analysis. Totally 778 coding regions were identified with restriction enzyme Msp I. The activity of Cu-ATPase was assessed by measuring inorganic phosphorus in 3 patients with known genotype.

RESULTSFifty-two of 60 patients (86%) had presented with hepatic manifestations, 30 of them had only hepatic manifestations, 12/52 patients had hepatic and neurological manifestations at the same time; 10/52 patients had hepatic and other symptom; 7/60 patients had only neurological symptom, one patient had no symptom. Eleven mutations were detected by DNA sequencing, including five missense mutations (R778L, V1140A,G943S, V1106I and V1216M), one deletion (1384del17) and five polymorphisms (IVS4-5T/C, A2495G, C2310G, IVS18 + 6C/T and IVS20 + 5A/G) were identified. R778L mutation was identified 52/114 alleles (45.6%). R778L occurred in 38/52 patients with hepatic manifestation (73%), homozygosis of R778L was demonstrated in 14 patients and heterozygosity of R778L in 24 patients. V1106I mutation was 1.7%, G943S, V1140A, and V1216M was 0.86% respectively in this study. Two patients with delayed onset of neurological symptoms occurred V1106I mutation of ATP7B. Cu-ATPase activity of 3 patients with known mutation (R778L/V1106I, R778L/V1216M and R778L/R778L) declined by 44.55%, 88.23% and 69.49%, respectively, compared with normal control.

CONCLUSIONThe 1384del17bp and V1106I are two novel mutations found in patients with WD. R778L was common mutation of ATP7B gene with frequency of 45.6% in this study. The mutation in exon 8 of WD gene may play an important role in pathogenesis of WD in Chinese. Carriage of R778L mutation seems to be correlated with hepatic manifestation.

Adenosine Triphosphatases ; genetics ; Adolescent ; Adult ; Cation Transport Proteins ; genetics ; Child ; Child, Preschool ; Copper-transporting ATPases ; DNA Mutational Analysis ; Exons ; Female ; Gene Frequency ; Genotype ; Hepatolenticular Degeneration ; enzymology ; genetics ; pathology ; Humans ; Male ; Mutation ; Phenotype ; Polymerase Chain Reaction ; Polymorphism, Single-Stranded Conformational ; Sequence Analysis, DNA

BACKGROUND/AIMS: In endoscopic submucosal dissection (ESD) training, only a flat target lesion can usually be simulated in the normal mucosa. This study aimed to evaluate the feasibility of simulated targets in the stomachs of live pigs for complete training. METHODS: Six trained endoscopists with hands-on experience with ex vivo, isolated pig stomachs were enrolled in this pilot study. An endoscopic banding device was used to create a polyp that was snared, leaving an ulcerated lesion. This simulated target model was used to perform ESD in pigs. The en bloc resection rate, procedure time, complications, quality of resection, and participants' opinions on the simulated targets were compared with the conventional model. RESULTS: En bloc resections were achieved in all six simulated targets and six conventional models. The mean size of the resected specimens was 32.2 mm (range, 20 to 39 mm) in the simulated target group and 23.5 mm (range, 11 to 40 mm) in the conventional group. The target model had a high quality of resection and had a high satisfaction rate for margin identification and correct peripheral marking. CONCLUSIONS: Good identification of the lesion and ease of periphery marking in the target model may improve resection quality.
Adult ; Animals ; *Clinical Competence ; Dissection/*education ; Feasibility Studies ; Female ; Gastric Mucosa/*surgery ; Gastroscopy/*education ; Humans ; Male ; Models, Anatomic ; Pilot Projects ; Stomach/surgery ; Stomach Neoplasms/surgery ; Sus scrofa

Methods: We recruited young patients with nonspecific low back pain for <3 months, who were otherwise healthy. Each patient had EOS images taken in the flexed, erect and extended positions, in random order, as well as magnetic resonance imaging to assess for disk degeneration. Angular and disk height measurements were performed and compared in all three postures using paired t-tests. Changes in disk height relative to the erect posture were caclulated to determine the alignment-specific load-bearing area of each FSU. Results: Eighty-three patients (415 lumbar intervertebral disks) were studied. Significant alignment changes were found between all three postures at L1/2, and only between erect and flexion at the other FSUs. Disk height measurements showed that the neutral axis of the spine, marked by zones where disk heights did not change, varied between postures and was level specific. The load-bearing areas were also found to be more anterior in flexion and more posterior in extension, with the erect spine resembling the extended spine to a greater extent. Conclusions Load-bearing areas of the lumbar spine are sagittal alignment-specific and level-specific. This may imply that, depending on the surgical realignment strategy, attention should be paid not just to placing an intervertebral cage “as anterior as possible” for generating lordosis, but also on optimizing load-bearing in the lumbar spine.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

OBJECTIVE: Autonomic imbalance is considered a psychopathological mechanism underlying major depressive disorder (MDD). Heart rate variability (HRV) is an index for autonomic activation. Poor sleep quality is common among patients with MDD. HRV biofeedback (BF) has been used for regulating autonomic balance among patients with physical illness and mental disorders. The purpose of present study was to examine the effects of HRV-BF on depressive symptoms, sleep quality, pre-sleep arousal, and HRV indices, in patients with MDD and insomnia. METHODS: In this case-controlled study, patients with MDD and Pittsburgh Sleep Quality Index (PSQI) score higher than 6 were recruited. The HRV-BF group received weekly 60-minute protocol for 6 weeks, and the control group who have matched the age and sex received medical care only. All participants were assessed on Beck Depression Inventory-II, Back Anxiety Inventory, PSQI, and Pre-Sleep Arousal Scale. Breathing rates and electrocardiography were also performed under resting state at pre-testing, and post-testing conditions and for the HRV-BF group, also at 1-month follow-up. RESULTS: In the HRV-BF group, symptoms of depression and anxiety, sleep quality, and pre-sleep arousal were significantly improved, and increased HRV indices, compared with the control group. Moreover, in the HRV-BF group, significantly improved symptoms of depression and anxiety, decreased breathing rates, and increased HRV indices were detected at post-testing and at 1-month follow-up, compared with pre-testing values. CONCLUSION: This study confirmed that HRV-BF is a useful psychosocial intervention for improving autonomic balance, baroreflex, and symptoms of depression and insomnia in MDD patients.
Anxiety ; Arousal ; Baroreflex ; Biofeedback, Psychology ; Case-Control Studies ; Depression ; Depressive Disorder, Major ; Electrocardiography ; Follow-Up Studies ; Heart Rate ; Heart ; Humans ; Mental Disorders ; Respiration ; Sleep Initiation and Maintenance Disorders