Propensity Score-Based Approaches to Confounding by Indication in Individual Patient Data Meta-Analysis: Non-Standardized Treatment for Multidrug Resistant Tuberculosis

Background

In the absence of randomized clinical trials, meta-analysis of individual patient data (IPD) from observational studies may provide the most accurate effect estimates for an intervention. However, confounding by indication remains an important concern that can be addressed by incorporating individual patient covariates in different ways. We compared different analytic approaches to account for confounding in IPD from patients treated for multi-drug resistant tuberculosis (MDR-TB).

Methods

Two antibiotic classes were evaluated, fluoroquinolones—considered the cornerstone of effective MDR-TB treatment—and macrolides, which are known to be safe, yet are ineffective in vitro. The primary outcome was treatment success against treatment failure, relapse or death. Effect estimates were obtained using multivariable and propensity-score based approaches.

Results

Fluoroquinolone antibiotics were used in 28 included studies, within which 6,612 patients received a fluoroquinolone and 723 patients did not. Macrolides were used in 15 included studies, within which 459 patients received this class of antibiotics and 3,670 did not. Both standard multivariable regression and propensity score-based methods resulted in similar effect estimates for early and late generation fluoroquinolones, while macrolide antibiotics use was associated with reduced treatment success.

Conclusions

In this individual patient data meta-analysis, standard multivariable and propensity-score based methods of adjusting for individual patient covariates for observational studies yielded produced similar effect estimates. Even when adjustment is made for potential confounding, interpretation of adjusted estimates must still consider the potential for residual bias.     

Characterization of changes in land cover and carbon storage in Northeastern China: An analysis based on Landsat TM data

We use Landsat TM time series data for the years of 1991/1992, 1995/1996 and1999/2000 to characterize land-cover change in northeast China. With the information onland-cover change and the density of vegetation and soil carbon, we assess the potential effect of land-cover change on vegetation and soil carbon in this region. Our results show a large decrease of 2.76×10~4km~2 in forest area and a rapid increase of 2.32×10~4km~2 in urban area. Land-cover changes in northeast China have resulted in a potential maximum loss of 273.2 Tg C for the period of 1991-2000, with a net loss of 95.7 Tg C in vegetation and 177.5Tg C in soil. The conversionof forests into other land-cover types could have potentially resulted in a loss of 254.6 Tg C for thestudy period, accounting for 68.8% of the total potential carbon loss in the northeast China. To quantify the net effect of land-cover change on carbon storage will require accounting for vegeta-tion regrowth and soil processes. Our results also imply that forest protection and reforestation are of critical importance to carbon sequestration in China.     

Co-suppression in transgenic Petunia hybrida expressing chalcone synthase A (chsA)

Chalcone synthase A is a key enzyme in the anthocyanin biosynthesis pathway. Expression of chsA gene in transgenic Petunia hybrida resulted in flower color alterations and co-suppression of transgenes and endogenous genes. We fused the β-glucuronidase (uidA) gene to the C-terminal of chsA gene, and transferred the fusion gene into Petunia hybrida via Agrobac-terium tumefaciens. GUS histochemical staining analysis showed that co-suppression occurred specifically during the development of flowers and co-suppression required the mutual interaction of endogenous genes and transgenes. RNA in situ hybridization analysis suggested that co-suppression occurred in the entire plant, and RNA degradation occurred in the cytoplasm.     

Quality control in databanks for molecular biology

Using a scientific measurement without an estimate of its error is like lending money to a stranger. Given the explosion in nucleic acid and protein sequence and structural data, what risks are the scientific and medical communities running in using these databases. Is there an ‘ombudsman’ who speaks for the users of the data? CODATA, the Committee on Data for Science and Technology of the International Council of Scientific Unions was established to improve the quality, reliability, processing, management, and accessibility of data for science and technology. The CODATA Task Group on Biological Macromolecules has surveyed quality control procedures of archival databanks in molecular biology. Our role is ‘to advise, to be consulted, and to warn.’ This report describes the kinds and extents of errors that may appear in nucleic acid and protein databases, and presents an agenda for future work to improve the quality of these databases. The results of the survey appear on the web http://www.codata.org/codata/tgreports/tg_reps.html . BioEssays 22:1024–1034, 2000. © 2000 John Wiley & Sons, Inc.     

A comparative genomic analysis of plant hormone related genes in different species

Plant hormones are small molecules that play important roles throughout the life span of a plant,known as auxin,gibberellin,cyto-kinin,abscisic acid,ethylene,jasmonic acid,salicylic acid,and brassinosteroid.Genetic and molecular studies in the model organism Arabidopsis thaliana have revealed the individual pathways of various plant hormone responses.In this study,we selected 479 genes that were convincingly associated with various hormone actions based on genetic evidence.By using these 479 genes as querie...     

A roadmap to generate renewable protein binders to the human proteome

Despite the wealth of commercially available antibodies to human proteins, research is often hindered by their inconsistent validation, their poor performance and the inadequate coverage of the proteome. These issues could be addressed by systematic, genome-wide efforts to generate and validate renewable protein binders. We report a multicenter study to assess the potential of hybridoma and phage-display technologies in a coordinated large-scale antibody generation and validation effort. We produced over 1,000 antibodies targeting 20 SH2 domain proteins and evaluated them for potency and specificity by enzyme-linked immunosorbent assay (ELISA), protein microarray and surface plasmon resonance (SPR). We also tested selected antibodies in immunoprecipitation, immunoblotting and immunofluorescence assays. Our results show that high-affinity, high-specificity renewable antibodies generated by different technologies can be produced quickly and efficiently. We believe that this work serves as a foundation and template for future larger-scale studies to create renewable protein binders.     

Biochemical Changes in Secondary Metabolites in Wounded and Deteriorated Cassava Roots

Bluish fluorescent and phenolic components were produced in cassava roots in response to cut- injury, and in relation to physiological deterioration and microbial deterioration. The former roved to consist of five coumarin components, the main three of which were scopoletin, scopolin and esculin, and the other two were scopoletin- and esculetin-containing conjugates. A main component of the latter was (+)-catechin. Some enzymes pertaining to the production of the secondary metabolites such as acid invertase, phenylalanine ammonia lyase and peroxidase were formed in cut-injured tissue and in non-infected tissue adjacent to the soft-rotten part.