[Distribution characteristics of body mass index among Chinese oldest-old aged 80 years and above].

Objective: To investigate body mass index (BMI) level, identify the main type of nutritional problem, and describe the population distribution characteristics of BMI among Chinese people aged 80 years or above. Methods: The data of 9 481 oldest-old individuals were obtained from the 2017-2018 Chinese Longitudinal Healthy Longevity Survey. The Lambda-Mu-Sigma method, weighted estimates of BMI, and comparisons by BMI quintiles were used to describe the BMI level and distribution characteristics among the oldest-old. Results: The average age of the participants was (91.9±7.7) years, with P50 of the weighted BMI at 21.9 (95%CI: 21.8-22.0) kg/m2. The result of BMI level showed a decreasing trend with age, with a rapid decline before age 100, and then the trend became slower. There are about 30% of the oldest-old classified as undernutrition, but the prevalence of overnutrition is only about 10%. The population distribution characteristics by BMI quintiles showed the oldest-old with lower BMI levels were likely to have the following characteristics: sociodemographically, to be older, female, ethnic minority, unmarried/divorced/widowed, rural residents, illiterate, with inadequate living expenses, located in Central, South, or Southwest China; regarding lifestyles, lower BMI levels were observed for participants who were smoking, not exercising, lack of leisure activities, or with poor dietary diversity; considering functional status, participants with lower BMI levels were those who have poor chewing ability, disability in activities of daily living, cognitive impairment, hearing loss, visual impairment, or poor self-rated health status. The oldest-old with higher BMI levels were likely to have heart disease, hypertension, cerebrovascular disease, and diabetes. Conclusions: The overall BMI level was low among the Chinese oldest-old and it showed a downward trend with age. Currently, the main nutritional problem among the Chinese oldest-old was undernutrition rather than overweight or obesity. Management of healthy lifestyles, functional status, and diseases would be helpful to reduce the risk of undernutrition among the oldest-old.

Primary meningeal osteoblastic osteosarcoma containing fibroblast osteosarcoma: clinicopathological analysis and literature review.

Primary meningeal osteosarcoma is rare. The aim of this report is to investigate the symptoms, imaging data, pathological diagnosis, and treatment of primary meningeal osteosarcoma. A 54-year-old male patient was admitted to hospital because of numbness and weakness in the right limb, accompanied by dizziness and chest tightness. The CT and MRI examination of the patient showed multiple irregular mixed density mass signal shadows. After preliminary examinations and tests, meningioma was considered. After surgical resection, the mass was sent for pathological examination, and primary meningeal osteosarcoma was finally diagnosed. The patient did not receive radiotherapy and chemotherapy and died 7 months later. Primary meningeal osteosarcoma is a rare and easily misdiagnosed disease. There is no test that is specific enough up to now, so the correct diagnosis can only be determined by a histopathological examination. At present, there are no clear drug, radiotherapy, and chemotherapy guidelines for the treatment of this disease in addition to surgery, and the prognosis is poor.

LncRNA UCA1 regulates proliferation, migration and invasion of cervical cancer cells by targeting miR-145.

OBJECTIVE: Finding a key target for the development of cervical cancer is conducive to the treatment of cervical cancer. LncRNA UCA1 plays a role in multiple tumors, such as the digestive tract and bladder. However, whether LncRNA UCA1 plays a role in cervical cancer is unclear. PATIENTS AND METHODS: The tumor tissues (tumor group) and adjacent tissues (normal group) of cervical cancer patients were collected for analysis of expression of LncRNA UCA1 and miR-145 by Real Time-Polymerase Chain Reaction (RT-PCR). Cervical cancer HeLa cell line was cultured and divided into NC group, si-UCA1 group, and si-UCA1+ miR-145 inhibitor group. It was followed by the analysis of LucRNA UCA1 expression by Real Time-PCR, cell proliferation by MTT assay, cell migration and invasion by respective cell scratch, transwell chamber assay, and targeted relationship between UCA1 and miR-145 by Dual-Luciferase activity. RESULTS: LncRNA UCA1 expression was significantly increased in cervical cancer and miR-145 expression was decreased compared with the normal group (p<0.05). There was a negative correlation between them (p<0.05). The downregulation of UCA1 significantly inhibited tumor cell proliferation, migration, and invasion compared with NC group (p<0.05). MiR-145 is the target miRNA of UCA1. The addition of miR-145 inhibitor reversed the effect of UCA1 siRNA on downregulating UCA1 expression, and the difference was statistically significant compared with the si-UCA1 group (p<0.05). CONCLUSIONS: LncRNA UCA1 expression is significantly increased in cervical cancer and miR-145 expression is decreased with a negative correlation between them. Lnc-RNA UCA1 regulates cervical cancer cell proliferation, migration, and invasion by targeting miR-145.

Use of 4+5 extensor compartmental vascularized bone graft and K-wire fixation for treating stage II-IIIA Kienböck's disease.

Vascularized bone grafts have shown favorable outcomes in Kienböck's disease, preventing the progression of lunate collapse and avascular necrosis. Here we describe our experience using a 4+5 extensor compartmental artery (ECA) vascularized bone graft combined with K-wire fixation. Between September 2010 and June 2013, 9 patients with Lichtman stage II-IIIA disease underwent arthroscopy prior to 4+5 ECA graft placement combined with temporary fixation (scaphocapitate and triquetrum-capitate joints). The average follow-up was 69 months (range, 51-92 months). Changes in pain, range of motion, grip strength, and pinch strength were analyzed. All patients had satisfactory recovery, especially pain relief and grip strength improvement (both P<0.01). Furthermore, magnetic resonance imaging follow-up was critical for monitoring lunate revascularization, especially in the early postoperative period.

Designing a 20 mm incision to protect the dorsal branch of the ulnar nerve during arthroscopic repair of triangular fibrocartilage complex injuries: Cadaver study and preliminary clinical results.

The ulnar-sided approach for arthroscopic peripheral triangular fibrocartilage complex (TFCC) repair may be associated with injury to the dorsal branch of the ulnar nerve (DBUN). The goal of this study was to develop a small incision to help minimize DBUN injury. Ten cadaveric upper limbs were used to measure the anatomic parameters of the DBUN. Based on these measured anatomical relationships, a 20 mm longitudinal incision with the ulnar styloid process as the midpoint was designed to explore and protect the DBUN. Three additional cadaveric upper limbs were used to test the feasibility of this method. Then this method was applied in 15 patients with TFCC injury (IB type). In 10 cadavers, the DBUN was located volar to the ulnar styloid process. The mean linear distance between the DBUN and the ulnar styloid process was 8.04 mm (range: 7.02-8.82mm) in the transverse-volar direction and 13.78 mm (range: 11.06-16.02mm) in the longitudinal-distal volar direction. In three additional cadavers, the DBUN was successfully explored and retracted with this incision, creating a safer space for passing sutures and tying knots. This modified method was used successfully in 15 patients, and the DBUN was protected during surgery. There were no complications, and most importantly, no injuries to the DBUN at the 6-month follow-up visit. Therefore, we recommend that a 20 mm longitudinal incision with the ulnar styloid process as the midpoint be made prior to passing sutures during the arthroscopic repair of TFCC tears to avoid injuring the various branches of the DBUN.

Hollow-Core-Photonic-Crystal-Fiber-Based Miniaturized Sensor for the Detection of Aggregation-Induced-Emission Molecules.

A miniature sensor for detection of aggregation-induced-emission (AIE) molecules is proposed in this work. The sensing head is fabricated by use of hollow-core photonic crystal fiber with a core diameter of about 4.8 µm. The cladding holes are sealed with a fusion splicing technique, and the central hole remains open to allow the filtration of solution with AIE molecules. When the solution is excited by an ultraviolet lamp, the fluorescence is received by a fiber-optic spectrometer. The fluorescence intensity is associated with the concentration of AIE molecules and the infiltrated-core length. In the whole process of the experiments, the output-peak wavelength is stable, which indicates that the existing forms of AIE particles are stable, and the fluorescence reabsorption can be neglected. The experimental results obtained are in accordance with traditional microplate-spectrophotometer methods. The most exciting result is that the amount of sample measured can be as low as 0.36 nL, which allows the detection of AIE molecules at only 0.02 pmol. In addition, the miniature sensor was successfully applied to the detection of an AIE-based bioprobe for evaluating the activity of the dipeptidyl-peptidase 4 (DPP-4) inhibitor sitagliptin with an IC50 of 59.80 ± 3.06 nM. The advantages of small device size and nanoliter-scale sample volumes suggest that the proposed sensor is promising for many biosensing applications.

Identifying differentially expressed pathways via a mixed integer linear programming model.

The identification of genes and pathways involved in biological processes is a central problem in systems biology. Recent microarray technologies and other high-throughput experiments provide information which sheds light on this problem. In this article, the authors propose a new computational method to detect active pathways, or identify differentially expressed pathways via integration of gene expression and interactomic data in a sophisticated and efficient manner. Specifically, by using signal-to-noise ratio to measure the differentially expressed level of networks, this problem is formulated as a mixed integer linear programming problem (MILP). The results on yeast and human data demonstrate that the proposed method is more accurate and robust than existing approaches.

[Nuclear matrix protein pattern in human hepatocellular carcinoma].

OBJECTIVE: To compare nuclear matrix proteins of normal liver with those of hepatocellular carcinoma (HCC) to see whether there are HCC-specific proteins. METHODS: Using high resolution two-dimensional polyacrylamide gel electrophoresis, the nuclear matrix proteins of 3 normal livers and 8 HCC were compared. RESULTS: There was a high degree of similarity between nuclear proteins of normal liver and those of HCC. Four HCC-specific nuclear matrix proteins were identified. Among them, one protein(Mr: 62,000; pI: 5.3) appeared in all tumor samples. The other three proteins appeared in most of the 8 HCC cases. These proteins were not detected in 3 normal livers. CONCLUSION: There are HCC-specific nuclear matrix proteins which may be related to the etiology and pathogenesis of HCC.